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Certified Journal 96 Sources, methods and major patterns in GLOBOCAN 2012

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The present study of scientometric analysis of Leukemia research output 2011-2020 an Indian perspective. The year-wise growth of leukemia research publications during the 10-year study period between 2011 and 2020 with 5,474 research publications and 86,869 citations. The maximum of 692 (12.64%) research publications are contributed in the year 2020, and the study out of 5,474 publications, 4,228 research publications are cited publications, and 1,246 research publications are uncited publications. The maximum of citation per paper is 47.69 in the year 2015, and the CAGR is 5.37. Authorship pattern more than five authorship mode with 1,910 (34.89%) publications, the average degree of collaboration is 0.97. The average collaborative coefficient value is 0.76, the average collaboration index value 4.30, and the average value is 4.32. Maximum of 128(17.16%) research publications are contributed by Malhotra, P. India. a maximum of 3837(70.09%) research publications are contributed by Article. The maximum number of 404(23.82%) publications are contributed by All India Institute of Medical Sciences, New Delhi. The Maximum of 266(24.14%) research publications are contributed by Indian Journal of Hematology and Blood Transfusion. Collaborator country the maximum of 462(37.90%) research publications are collaborated by United States of America. The highly cited paper of 18098 citations are received by Ferlay, J (2015) Cancer incidence and mortality worldwide:
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PUBLICATIONS AND CITATIONS ANALYSIS OF LEUKEMIA
RESEARCH OUTPUT IN INDIA FROM THE SCOPUS DATABASE
DURING THE PERIODS 2011-2020: A SCIENTOMETRIC ANALYSIS
1*S. Ravichandran, 2Dr. S.Vivekanandhan and 3Dr. N. Siva
1Library Assistant Grade-1, SRM Institute of Science and Technology, Kattankulathur,
Chengalpet, Tamilnadu, India.
2,3Deputy Librarian, SRM Institute of Science and Technology, Kattankulathur, Chengalpet,
Tamilnadu, India.
Article Received on 27/03/2022 Article Revised on 17/03/2022 Article Accepted on 07/04/2022
ABSTRACT
The present study of scientometric analysis of Leukemia research
output 2011-2020 an Indian perspective. The year-wise growth of
leukemia research publications during the 10-year study period
between 2011 and 2020 with 5,474 research publications and 86,869
citations. The maximum of 692 (12.64%) research publications are
contributed in the year 2020, and the study out of 5,474 publications,
4,228 research publications are cited publications, and 1,246 research publications are uncited
publications. The maximum of citation per paper is 47.69 in the year 2015, and the CAGR is
5.37. Authorship pattern more than five authorship mode with 1,910 (34.89%) publications,
the average degree of collaboration is 0.97. The average collaborative coefficient value is
0.76, the average collaboration index value 4.30, and the average value is 4.32. Maximum of
128(17.16%) research publications are contributed by Malhotra, P. India. a maximum of
3837(70.09%) research publications are contributed by Article. The maximum number of
404(23.82%) publications are contributed by All India Institute of Medical Sciences, New
Delhi. The Maximum of 266(24.14%) research publications are contributed by Indian Journal
of Hematology and Blood Transfusion. Collaborator country the maximum of 462(37.90%)
research publications are collaborated by United States of America. The highly cited paper of
18098 citations are received by Ferlay, J (2015) Cancer incidence and mortality worldwide:
wjert, 2022, Vol. 8, Issue 6, 95-117.
World Journal of Engineering Research and Technology
WJERT
www.wjert.org
ISSN 2454-695X
Review Article
SJIF Impact Factor: 5.924
*Corresponding Author
S. Ravichandran
Library Assistant Grade-1,
SRM Institute of Science
and Technology,
Kattankulathur, Chengalpet,
Tamilnadu, India.
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Sources, methods and major patterns in GLOBOCAN 2012, International Journal of Cancer,
136(5): 359-386.
KEYWORDS: Scientometrics, Degree of collaboration, Relational citation index, Leukemia
Research, Time series analysis, Relative Growth Rate, Collaborative index CI, CC, and
MCC.
INTRODUCTION
Cancer starts when cells in the body change (mutate) and grow out of control. Your body is
made up of tiny building blocks called cells. Normal cells grow when your body needs them.
They die when your body doesn't need them anymore. Cancer is made up of abnormal cells
that grow even though your body doesn‟t need them. In most types of cancers, the abnormal
cells grow to form a lump or mass called a tumor. Leukemia is different from most other
cancers. Leukemia cells don't always form a tumor. This cancer starts in the bone marrow.
The bone marrow is the thick, spongy liquid inside your bones. It's where new blood cells are
made. Leukemia starts in early forms of blood cells, often white blood cells, which help fight
infections. When you have leukemia, your body makes too many "bad" blood cells that don‟t
work like they should. Instead of forming tumors, leukemia cells travel in the blood and go
all over the body. This means they can reach almost any organ. Leukemia can cause problems
and be found in many different ways, depending on which organs are affected.
Blood is made up of liquid, called plasma, and 3 main kinds of cells. Each kind of cell has a
special task: White blood cells. These help the body fight infection and disease. Red blood
cells. These carry oxygen from the lungs to the body's tissues and carry carbon dioxide from
the tissues to the lungs. Platelets. These help form blood clots and control bleeding. Blood
cells are made in the soft center of the bones called the bone marrow. In adults, active bone
marrow is found mostly in the hip bones, ribs, spine, and skull. Normal cells in the bone
marrow develop from very immature cells into mature, working cells ready to go out in the
blood. Early, less mature, non-working forms of new blood cells are called blasts. As cells
mature in the bone marrow, they become smaller and more compact. They're better able to do
their special jobs. Some new blood cells stay in the bone marrow to grow, while others move
to other parts of the body to grow. More blood cells are made when the body needs them,
such as when a person has an infection or low numbers of red blood cells (anemia). This
process keeps the body healthy.[1]
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Scientometric Study
Scientometric is a study to measure the performance of researchers as well as the research
publications. The research activities contain major changes over the last few decades and
emerged as an established research in the discipline of “Library and Information Science”.
The study of scientific literature has a long history dating back to the early decades of the
past century. However, despite in the number of research literature in this area it was not until
1969, that the term bibliometrics first appeared in print (Pritchard 1969).[2] Definition of
bibliometric was „application of mathematical and statistical methods to books and other
media of communication‟, particularly in North America, the term was quickly adopted and
used (Wilson, 1999).[3] At the same time, Nalimov and Mulchenko (1969)[4] coined the term
scientometrics to refer to „the application of quantitative methods which are dealing with the
analysis of science viewed as an information process‟. In contrast, this term was widely used
in Europe (Wolfram, 2003).[5] Initially, therefore, scientometrics was restricted to the
measurement of science communication, whereas bibliometrics was designed to deal with
more general information processes, Andres A (2009).[6]
Review of Literature
Jose Luis Martin Perez-Santos and Maricruz Anaya-Ruiz (2013)7 Mexican breast cancer
research output, 2003-2012. The objective of this study was to explore a bibliometric
approach to quantitatively assess current research trends with regard to breast cancer in
Mexico. Data were retrieved from the Web of Science database from 2003 to 2012; A total of
256 articles were retrieved. The institutions with the majority of publications were the
National Autonomous University of Mexico (22.3%), the National Institute of Cancerology
(21.9%), and the Social Security Mexican Institute (20.3%); clinical observation studies were
the dominant investigation type (64%), and the main types of research were metabolics
(24.2%) and pathology (21.5%). This article demonstrates the usefulness of bibliometrics to
address key evaluation questions and establish priorities, define future areas of research, and
develop breast cancer control strategies in Mexico.
Alí Ruiz-Coronel et al (2020)[8] National Cancer Institute scientific production scientometric
analysis, the using the LabSOM software and the ViBlioSOM methodology based on
artificial neural networks, the INC a scientific production indexed in the Web of Science
from 2007 to 2017 was analyzed. The multidimensional scientometric profile of the Institute
was obtained and compared with that of other national health institutions. In terms of
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productivity, INC ranks fourth among the 10 Mexican public health institutions indexed in
the Web of Science; in the normalized impact ranking, it ranks sixth. Although out of 1323
articles 683 (51.62 %) did not receive citations, 11 articles classified as excellent (0.83 %)
obtained 24 % of 11,932 citations and, consequently, INC a normalized impact rate showed
mean productivity higher than the world mean.
Jeyshankar and Ramesh babu (2013)[9] examined the scientometric analysis of leukemia
research output (1960-2011): an Indian perspective. The data was collected from the Scopus
database. The leukemia research output from India a total of 2120 research papers were
published during the period 1960-to 2011. The growth rate is found to be at a maximum
during the period 1992-1996 and the minimum during the period 1982-1986. The average
growth rate works out to be 1.12 and Dt is in a fluctuation trend. The largest number (1524)
of the journal articles 97.89%) used for publication indicates a continued trend of relying
primarily on this form of publication. The future trend of leukemia will have an increasing
trend in the year 2015 and may gain an increasing trend in 2020. A single-authored
publication from form 6.37% and the average degree of collaboration the 0.96. The Journal of
leukemia ranks first with 6.37%.
Rabiya Mushtaq & Fayaz Ahmad Loan (2021)[10] examined the lung cancer research in
India and Iran: The top 10 countries contribute 89.77% of the total research productivity in a
scientometric study. The lung cancer 151,903 (35.75%) publication productivity of the USA.
the RGR is found to exhibit the highest value of 0.71 and the lowest of 0.10. Year-wise
calculated values of RGR for India depict that year 1989 has the highest RGR of 0.71
however, later shows a decreasing trend dipping as low as 0.10 for the years 1998 and 2000.
Both countries very high of the degree of collaboration in (0.98 for Iran and 0.97 for India).
The value of the collaboration coefficient (CC) is above 0.50, i.e. (0.89 for India and 0.91 for
Iran). This also confirms that both nations prefer multiple authorship patterns.
Sudhakar and Thanuskodi (2018)[11] analyzed the scientometric analysis of Marine
Pollution Bulletin Journal research publications from 2008 to 2017 with 5416 publications.
Maximum numbers of 905(16.71%) publications are contributed in the year 2017. This study
identified RGR has been decreased from 0.63 to 0.18 and the same time doubling time has
been increased from 1.10 to 3.85. The degree of collaboration was 0.94, which clearly
indicates its dominance of multiple author‟s contributions. Liu J. was the top ranked authors
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with 49 articles. Maximum numbers of 910 (12.06%) publications are contributed by United
States.
Dhanya and Raja (2017)[12] analyzed the Indian research output of industrial pollution
indexed in the Web of Science database with 805 publications during 2007-2016 which
received 9699citations. Kumar A and Kumar R are the most productive authors with 13
(1.6%) publications. The most productive journal is Environmental Monitoring and
Assessment with 103 (12.8%) publications and the maximum of articles are published in the
year 2016 with 113(14%) publications. Relative Growth Rate is 0.16 in the year 2016 and
Doubling Time is 4.58 in the year 2016.
Ravichandran and Vivekanandhan (2020)[13] analyzed the solid waste management
research publications (2010-2019) using SCOPUS database with 5198 research publications.
The maximum of 694 (13.35%) research publication in the year 2019, Compound annual
growth ratio was 3.67.The maximum of 3907(75.16%) research publications are contributed
by article, and the maximum of 43 (0.83%) research publications are contributed by Huang
G.H, India. The study period identified that multi authors are dominated in this study field
and the average degree of collaboration was 0.88. The relative growth rate was 0.63 in the
year 2011 and 0.14 in the year 2019 at the same time doubling time was 1.10 in the year 2011
and 4.84 in the year 2019.
Shilpa & Padmamma (2020)[14] examined the growth of Literature on Oncology: A
Scientometric Analysis. The study examines the growth of publications, annual growth rate,
compound annual growth rate, authorship pattern in the oncology literature. The growth of
publications was ranged from 7.90 in the year 2010 to 11.25 in the year 2018. In the year
2019, we can find a slight decrease in publications productivity. The study found that there is
an increasing trend during the study. The annual growth rate was ranged from 0.91 and 1.09
during the study. The relative growth rate was decreasing and the doubling time was
increasing from 2010 to 2019. The compound annual growth rate was registered in the year
2014 with 9.091.
Ravichandran and Vivekanandhan (2021)[15] examine the Scientometric analysis of
wastewater management research publications during 2010-2019 from Scopus database. The
study identified that maximum of 2842(14.31%) research publications with 19857 citations
are contributed in the year 2019. Ngo, H.H contributed a maximum of 101(0.51%) research
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publications, maximum of 19355 articles were contributed by joint authors and average
degree of collaboration was 0.97. Maximum of 2102(10.58%) research publications are
contributed in Bio resource technology, ministry of education, china with 863(22.32%)
research publication and China has contributed maximum of 5919(29.80%) research
publications.
OBJECTIVE OF THE STUDY
To study the year wise growth of Leukemia research publications in India
To examine the relative growth rate and doubling time.
To study the authorship pattern.
To study the degree of collaboration, and collaborative index of CC, CI and MCC
To find out the co-authorship index.
To identify the top 10 Authors, Institutions, Journals
To identify the International Collaborated Countries in India
To examine the time series analysis
To identify the top 10 highly cited publications in India
Research methods
In the study of identified the leukemia research publications from 2011-2020 using the
Scopus database. The keyword search is used to collect the data. The search key is: (TITLE-
ABS-KEY ("Leukemia") AND PUBYEAR > 2010 AND PUBYEAR < 2021 AND (LIMIT-
TO (AFFILCOUNTRY,"India”))) the data was collected for this study is 05.07.2021. The
collected data‟s was analyzed using Micro soft excel work sheet.
Data Analysis and Interpretations
Compound Annual Growth Rate [CAGR]
The Compound Annual Growth Rate [CAGR] is one of the useful measures to identify the
growth, over the multiple time periods. It can be measure from the initial number of
publications to ending number of publications. The mathematical formula of CAGR is used
Ashok Kumar and Gopala Krishnan (2013)[16]
The compound annual growth rate was calculated by the following formula,
-1
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During the ten year study period compound annual growth rate is calculated by the Leukemia
research outputs in India from the beginning year and ending year. It is identified from the
table 1 the compound annual growth rate is 5.37.
Relative Citation Index (RCI)
Relative citation index (RCI) was developed by the Institute of Scientific Information and
examine the impact of different countries, institutions, authors and journals research
publications. The scientific impact of leading countries was examined by using two relative
indicators, namely citations per paper (CPP) and relative citations index (RCI). Citations per
paper (CPP) are a relative indicator computed as the average number of citation per paper.
To measure the both influence and visibility of a country research, the following formula has
been used by Bharvi Dutt and Khaiser Nikam (2016).[17]
RCI = 1 indicate that a country‟s citation rate is equal to the world citation rate
RCI > 1 indicate that a country‟s citation rate is greater than the world citation rate
RCI < 1 indicate that a country‟s citation rate is lower than the world citation rate
H-Index
Hirsch (2005)[18] proposed the h-index is one of the alternatives to the standard bibliometric
indicators for single scientists, it is defined below the table,
A scientist has index h if h of his or her Np papers have at least h citations each and other
papers (Np h) have ≤ citations each.
Ye (2009)[19] found that the Glanzel-Schubert (2007)[20] model was better than the Hirsch
and Egghe-Rousseau (2006)[21] model to estimate the h-index of countries and other units.
Gupta and Bala (2013)[21] discussed the h-index in the various acts of Epilepsy research in
India. Differences among the various models of the h-index are
Various methods of h-index
Model
Description
Hirsch
C = Total Citations; a = Constant
Egghe-Rousseau
P = Total Publications; a > 1 is Lotka‟s Exponential
Glanzel-Schubert
c is a Constant; P = Total Publications CPP =
Citations Per Publications
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Year Wise Growth of Leukemia Research Outputs Publications
Table 1: Year Wise Growth of Leukemia Research Outputs Publications.
S.No
year
Publications
%
Citations
%
Cited
%
Uncited
%
CPP
RCI
1
2011
410
7.49
9086
10.46
356
8.42
54
4.33
22.16
1.40
2
2012
477
8.71
8382
9.65
411
9.72
66
5.30
17.57
1.11
3
2013
497
9.08
8196
9.43
453
10.71
44
3.53
16.49
1.04
4
2014
562
10.27
7043
8.11
463
10.95
99
7.95
12.53
0.79
5
2015
552
10.08
26325
30.30
468
11.07
84
6.74
47.69
3.01
6
2016
600
10.96
5730
6.60
497
11.75
103
8.27
9.55
0.60
7
2017
533
9.74
12682
14.60
424
10.03
109
8.75
23.79
1.50
8
2018
576
10.52
5044
5.81
440
10.41
136
10.91
8.76
0.55
9
2019
575
10.50
2683
3.09
385
9.11
190
15.25
4.67
0.29
10
2020
692
12.64
1698
1.95
331
7.83
361
28.97
2.45
0.15
Total
5474
100.00
86869
100.00
4228
100.00
1246
100.00
CAGR
5.37
The year wise growth of leukemia research publications during the 10 years study period in
the table-1 between 2011 and 2020 with 5,474 research publications and 86,869 citations.
The study from the maximum of 692 (12.64%) research publications are contributed in the
year 2020, followed by 600 (10.96%) publications in the year 2016, and 575 (10.50%)
publications in the year 2019. The average research publication per year is 547.4.
During the ten-year study that a total number of 5,474 publications are received 86,869
citations. Out of that maximum of 26,325 (30.30%), citations are received 552 publications in
the year 2015. Followed by 12,682 (14.60%) citations are received 533 publications in the
year 2017. From the study, out of 5,474 publications, 4,228 (100%) research publications are
cited publications, and 1,246 (100%) research publications are uncited publications. The
maximum of citation per paper is 47.69 in the year 2015, followed by CPP is 23.79 in the
year 2017, and by CPP is 22.16 in the year 2011 and the average citation per paper is 1.66.
The maximum of RCI is 3.01 in the year 2015, followed by 1.50 in the year 2017, by 1.40 in
the year 2011 and the average RCI is 1.04.
Relative Growth Rate (RGR)
The most important feature of science and technology in recent years has been calculated by
the rate of growth. Scientific growth has been involved not only increase in manpower and
financial investment. The relative growth rate is identified by the increase in number of
publications per unit of time. The mean relative growth rate over the particular period of
interval can be calculated in the following formula developed by Mahapatra (1985).[23]
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Where,
R (a) = RGR = the mean relative growth rate over the specific period of interval
W1 = the logarithm of beginning number of publications/pages
W2= the logarithm of ending number of publications/pages after a specific period of interval
T2 T1 = the unit difference between the beginning time and the ending time.
The doubling time is the time taken for the doubling of the number of records actually
published within a stipulated period. The doubling time is calculated from the relative growth
rate and the natural logarithm number is used, the difference has a value of 0.693. The
corresponding doubling time can be calculated by the following formula,
Relative Growth Rate and Doubling Time in Leukemia Research Outputs
Table 3: Relative Growth Rate and Doubling Time in Leukemia Research Outputs.
S.No
Years
Publications
Cum
W1
W2
RGR=(W2-W1)
Dt=(0.693/RGR
1
2011
410
410
6.02
2
2012
477
887
6.02
6.79
0.77
0.90
3
2013
497
1384
6.79
7.23
0.44
1.56
4
2014
562
1946
7.23
7.57
0.34
2.03
5
2015
552
2498
7.57
7.82
0.25
2.78
6
2016
600
3098
7.82
8.04
0.22
3.22
7
2017
533
3631
8.04
8.20
0.16
4.37
8
2018
576
4207
8.20
8.34
0.15
4.71
9
2019
575
4782
8.34
8.47
0.13
5.41
10
2020
692
5474
8.47
8.61
0.14
5.13
Total
5474
The leukemia research output in India in the relative growth rate and the doubling time (Dt)
the result are presented the calculate in table-3 from the study it is identified that, the relative
growth rate is 0.77 in the year 2012 and 0.14 in the year 2019. This study confirmed that,
relative growth rate is decreasing trend from 2012 to 2020. At the same time, doubling time is
found that 0.90 in the year 2012 and 5.13 in the year 2020. It is conformed that doubling time
is increasing trend during the study period.
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Authorship Pattern in Leukemia Research Outputs
Table 4: Authorship Pattern in Leukemia Research Outputs.
Authorship Pattern
year
1
2
3
4
5
>5
Total
2011
18
70
70
91
48
113
410
2012
16
70
73
101
61
157
478
2013
18
63
75
102
77
162
497
2014
25
66
91
128
70
181
561
2015
18
77
79
108
76
195
553
2016
26
63
107
119
74
211
600
2017
11
60
82
107
74
199
533
2018
7
69
89
106
93
212
576
2019
15
89
85
99
80
207
575
2020
26
69
134
103
86
273
691
Total
180
696
885
1,064
739
1,910
5,474
%
3.29
12.71
16.17
19.44
13.50
34.89
100.00
From the study it is identified the authorship pattern table-4 in the field of leukemia research
output in India, The majority of the authors in the field are preferred to publish their research
works in more than five authorship mode with 1,910 (34.89%) publications. Followed by four
authorship mode with 1,064 (19.44%) publications, three authorship mode with 885 (16.17%)
publications. During the study period five authors are contributed with 739(13.50%)
publications, two authors are contributed only 696 (12.71%) publications. single author are
contributed only 180(3.29%) publications. This study confirmed that more than 97% of
publications are contributed in multiple authors.
Degree of Collaboration
The degree of collaboration is relationship between the single author and multi author‟s
contributions. The degree of collaboration is calculated by the Subramanian formula
(1983)[24], used by Vivekanandhan (2016),[25] Sivasamy (2020).[26] Ravichandran
(2021)[27]
Nm = Number of multi authored publications
Ns = Number of single authored publications
The present study of number of multi- authors = 5294, number of single author = 180
The degree of collaboration is =5294/ (180+5294) = 0.97
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Degree of Collaboration in Leukemia research publications
Table 5: Degree of Collaboration in Leukemia research publications.
year
Single Author
Publications
NS
Multi Author
Publications
NM
Total Author
Publications
NS+NM
Degree of
collaboration
DC = Ns/ (Ns+Nm)
2011
18
392
410
0.96
2012
16
462
478
0.97
2013
18
479
497
0.96
2014
25
536
561
0.96
2015
18
535
553
0.97
2016
26
574
600
0.96
2017
11
522
533
0.98
2018
7
569
576
0.99
2019
15
560
575
0.97
2020
26
665
691
0.96
Total
180
5,294
5,474
0.97
The leukemia research publications in India table -5 shows that the degree of collaboration
ten years study period to selected. The degree of collaboration from the study it is identified
that is between 0.96 in the year 2011 and 0.96 in the year 2020. The degree of collaboration
average is 0.97. The majority from this study it is identified that, the leukemia research
publications are contributed by collaborated authors.
Collaborative Coefficient (CC)
The pattern of co-authorship collaboration among the authors can be measured with the
following formula suggested by Ajiferuke, et al. (1988).[28]
Whereas,
Fj = Number of publications with j author papers
N = Total number of the research publications and
k = the greatest number of authors/ paper in the given field.
Collaboration Index (CI)
The simple indicator are presently employed in the publications to the collaboration index,
which is to be understand nearly as the mean number of authors per paper are suggested by
Ajiferuke, et al.(1988)[28]
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Here
J - The number of co-authored papers appearing in a discipline
N - The total number of publications in the field over the same time period of interval and
k - The highest number of authors per paper in a same time field.
Modified Collaboration Coefficient
The modified collaboration coefficient (MCC) counted by the formula which is suggested by
Savanur and Srikanth, (2010)[29]
Which is given below:
Where,
j = the number authors in an article i.e. 1, 2, 3......
Fj = the number of j authored articles
N = the total number of articles published in a year, and
A = the total number of authors per articles
Collaborative Measure in Leukemia Research Publications
Table 6: Collaborative Measures in Leukemia Research Publications.
Authorship Pattern
year
1
2
3
4
5
>5
CC
CI
MCC
2011
18
70
70
91
48
113
0.69
4.02
4.03
2012
16
70
73
101
61
157
0.71
4.24
4.25
2013
18
63
75
102
77
162
0.71
4.29
4.30
2014
25
66
91
128
70
181
0.71
4.24
4.25
2015
18
77
79
108
76
195
0.72
4.32
4.33
2016
26
63
107
119
74
211
0.71
4.31
4.32
2017
11
60
82
107
74
199
0.73
4.44
4.45
2018
7
69
89
106
93
212
0.74
4.47
4.47
2019
15
89
85
99
80
207
0.72
4.32
4.33
2020
26
69
134
103
86
273
0.72
4.41
4.41
Total
180
696
885
1,064
739
1,910
The collaborative index measure of leukemia of research publications in India table -6 the
selected ten year study period from 2011 to 2020. The study period it is identified from the
table-6 the maximum of CC value is 0.74 in the year 2018, and minimum of CC value is 0.69
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in the year 2011. The average CC value is 0.76. The CI values are identified from the table-6,
the maximum of CC value is 4.44 in the year 2017 and a minimum of CI value is 4.02 in the
year 2011.The average CI value 4.30. The maximum of MCC value is 4.47, and a minimum
of MCC value is 4.03. The average MCC value is 4.32.
Co-authorship Index (CAI)
To study how the pattern of co-authorship and the use of co-authorship index suggested by
Garg and Padhi (2001)30 has been explained the under mentioned formula. To evaluate the
co-authorship index (CAI) is the whole set of data is divided into 2 block years.
Whereas,
Nij - Number of publications having j authors in i block
Nio - Total publications of i block
Noj - Number of publications having j authors for all blocks
Noo-: Total number of publications for all authors and the all blocks
Here CAI=100 implies that a country‟s co-authorship effort for a particular authorship
correspond to the world average
CAI > 100 reflects higher than average co-authorship effort
CAI < 100 reflects lower than average co-authorship effort by the given type of authorship
pattern.
For calculating the co-authorship index for authors, years have been replaced into block
years. For this study, the authors have been classified into two blocks (ie.2010-2014 and
2015-2019) Vs. Single, Two, Three authors and More than 3 authors.
Co- Authorship Index (CAI) in Leukemia research publications
Table 7: Co- Authorship Index) in Leukemia research publications.
5 year Block
Single
CAI
Two
CAI
Three
CAI
More than three
CAI
Total
2011-2015
95
115.61
346
108.89
388
96.03
1670
98.52
2499
2016-2020
85
86.89
350
92.53
497
103.33
2043
101.24
2975
Total
180
696
885
3713
5474
The Co- authorship index values are calculated by the block year period for table-7, for
leukemia research publications in India for selected ten years study period. From the study it
is identified that, CAI for single and two authorship contributions are decreasing trend from
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1st block year to 2nd block year. At the same time CAI is increasing trend for three authors
and more than three authors from 1st block year to 2nd block years (98.52) to (101.24).
Top 10 Authors Contribution in Leukemia Research Publications in India
Table 8: Top 10 Authors Contribution in Leukemia Research Publications in India.
S.No
Author
Country
Publications
%
Citations
%
CPP
H-
Index
RCI
1
Malhotra, P.
India
128
17.16
499
8.96
3.90
10
0.52
2
Varma, N.
United States
111
14.88
614
11.03
5.53
12
0.74
3
Bakhshi, S.
United
Kingdom
91
12.20
521
9.36
5.73
12
0.77
4
Varma, S.
Canada
72
9.65
318
5.71
4.42
8
0.59
5
Kumar, L.
Saudi Arabia
66
8.85
667
11.98
10.11
12
1.35
6
George, B.
Germany
59
7.91
725
13.02
12.29
16
1.65
7
Prakash, G.
Australia
57
7.64
193
3.47
3.39
8
0.45
8
Mathews, V.
Italy
56
7.51
864
15.52
15.43
16
2.07
9
Bansal, D.
France
55
7.37
455
8.17
8.27
11
1.11
10
Khadwal, A.
Japan
51
6.84
712
12.79
13.96
7
1.87
Total
746
100.00
5,568
100.00
7.46
Top 10 author‟s contribution in leukemia research publications in India from the 10 year
selected study period from the study it is identified that, the maximum of 128(17.16%)
research publications are contributed by Malhotra, P. India and his publications are received
499(8.96%) citations, CPP is 3.90, h-index is 10 and RCI value is 0.52. Followed by Varma,
N. from Varma, N. the United States with 111(14.88%) research publications and it is
received by 614(11.03%) citations, CPP is 35.53, h-index is 12 and RCI value is 0.74. Third
ranking author is Bakhshi, S. from United Kingdom with 91(12.20%) research publications,
521(9.36%) citations, CPP is 5.73, h-index is 12 and RCI value is 0.77.
Document Type Contributions in Leukemia research output in India
Table 9: Document Type Contributions in Leukemia research output in India.
S.No
Document Type
Publications
%
1
Article
3837
70.09
2
Review
683
12.48
3
Letter
471
8.60
4
Conference Paper
210
3.84
5
Note
119
2.17
6
Book Chapter
61
1.11
7
Editorial
51
0.93
8
Short Survey
26
0.47
9
Erratum
8
0.15
10
Book
4
0.07
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11
Data Paper
1
0.02
12
Retracted
1
0.02
13
Undefined
2
0.04
Total
5,474
100.00
Document types are identified during the ten-year study period on leukemia research
publications are shown in table 9. From the study, it is identified that a maximum of
3837(70.09%) research publications are contributed by Article, followed by 683(12.48%)
research publications are Review and third-placed in Letter with 471(8.60%) research
publications. This study confirmed that more than 91% of research publications are
contributed by article, review, and letter. The remaining nearby 9% of research publications
are identified in the other form documents.
Top 10 Institutions Contributions in Leukemia research output in India
Table 10: Top 10 Institutions Contributions in Leukemia research output in India.
S.No
Organization
Publications
%
Citations
%
CPP
H-Index
RCI
1
All India Institute of Medical
Sciences, New Delhi
404
23.82
10,390
14.88
25.72
21
0.62
2
Postgraduate Institute of
Medical Education &amp;
Research, Chandigarh
365
21.52
11,159
15.98
30.57
25
0.74
3
Tata Memorial Hospital
201
11.85
20,854
29.86
103.75
21
2.52
4
Institute Rotary Cancer
Hospital India
159
9.38
1026
1.47
6.45
14
0.16
5
Christian Medical College,
Vellore
125
7.37
7860
11.25
62.88
23
1.53
6
Indian Institute of Integrative
Medicine, Srinagar
114
6.72
2,582
3.70
22.65
28
0.55
7
Manipal Academy of Higher
Education
86
5.07
651
0.93
7.57
13
0.18
8
Council of Scientific and
Industrial Research India
86
5.07
7,808
11.18
90.79
29
2.20
9
Cancer Institute India
78
4.60
343
0.49
4.40
10
0.11
10
University of Delhi
78
4.60
7,164
10.26
91.85
22
2.23
Total
1,696
100.00
69,837
100.00
Top 10 Institutions from the table-10 are contributed a total number of 1,696 publications and
it is received 69,837 citations for the selected ten year study period in Leukemia research
output in India. From the study it is identified that, maximum number of 404(23.82%)
publications are contributed by All India Institute of Medical Sciences, New Delhi and it is
received 10,390(14.88%) citations, CPP is 25.72, h-index is 21 and RCI value is 0.62.
Followed by Postgraduate Institute of Medical Education &amp; Research, Chandigarh
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contributed with 365(21.52%) research publications, 11,159(15.98%) citations, CPP is 30.57,
h-index is 25 and RCI value is 0.74. Third rank institution is Tata Memorial Hospital with
201(11.85%) research publications, 20,854(29.86%) citations, CPP is 103.75, h-index is 21
and RCI value is 2.52.
Top 10 Journals Contributions in Leukemia Research Output in India
Table 11 top 10 Journals Contributions in Leukemia Research Output in India.
S.No
Journals
Publications
%
Citations
%
CPP
H-Index
RCI
1
Indian Journal Of Hematology
And Blood Transfusion
266
24.14
64
1.97
0.24
10
0.08
2
Indian Journal Of Medical
And Pediatric Oncology
184
16.70
541
16.69
2.94
11
1.00
3
Indian Journal Of Pathology
And Microbiology
129
11.71
356
10.98
2.76
9
0.94
4
Indian Journal Of Cancer
102
9.26
289
8.91
2.83
9
0.96
5
Journal Of Clinical And
Diagnostic Research
102
9.26
322
9.93
3.16
8
1.07
6
Journal Of Cancer Research
And Therapeutics
68
6.17
591
18.23
8.69
8
2.95
7
Leukemia And Lymphoma
68
6.17
505
15.58
7.43
13
2.52
8
BMJ Case Reports
64
5.81
95
2.93
1.48
4
0.50
9
Indian Journal Of Pediatrics
60
5.44
256
7.90
4.27
9
1.45
10
Indian Pediatrics
59
5.35
223
6.88
3.78
8
1.28
Total
1102
100.00
3,242
100.00
Top 10 Journals contributions in the field of leukemia research publications in India the table-
11. The study period from it is identified that, the maximum of 266(24.14%) research
publications are contributed by Indian Journal of Hematology and Blood Transfusion and it is
received by 64(1.97%) citations, CPP is 0.24, h-index is 10 and RCI value is 0.08. Followed
by Indian Journal of Medical and Pediatric Oncology with 184(16.70%) research
publications, 541(16.69%) citations, CPP is 2.94, h-index is 11 and RCI value is 1.00. Third
placed contributing Indian Journal of Pathology and Microbiology research with
129(11.71%) publications, 356(10.98%) citations, CPP is 2.76, h-index is 9 and RCI value is
0.94.
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Top 10: International Collaborated Countries in Leukemia Research Publications in
India
Table- 12: Top 10 International Collaborated Countries in Leukemia Research
Publications in India.
S.No
Country
Publications
%
Citations
%
CPP
H-
Index
RCI
1
United States
462
37.90
21,867
13.76
47.33
56
0.36
2
United Kingdom
130
10.66
32,712
20.59
251.63
35
1.93
3
Canada
100
8.20
12,621
7.94
126.21
27
0.97
4
Saudi Arabia
94
7.71
10,435
6.57
111.01
23
0.85
5
Germany
93
7.63
13,500
8.50
145.16
30
1.11
6
Australia
72
5.91
12,466
7.85
173.14
28
1.33
7
Italy
71
5.82
12,110
7.62
170.56
30
1.31
8
France
69
5.66
31,357
19.74
454.45
30
3.49
9
Japan
67
5.50
11,803
7.43
176.16
25
1.35
10
China
61
5.00
1,5048
9.47
246.69
27
1.89
Total
1,219
100.00
173,919
109.47
Others Country 120
1,260
Top ten International collaborated countries of leukemia research publications in India.
During the study period of 20110 to 2020in the table- 12. The maximum of 462(37.90%)
research publications are collaborated by United States of America. Followed by United
Kingdom with 130(10.66%) research publications, Canada with 100(8.20%) research
publications. During the ten year study period total number of 1219 publications are
collaborated by 120 countries 1260 publications in other Countries.
Time Series Analysis in Leukemia Research Publications in India
Table 13: Time Series Analysis in Leukemia Research Publications in India.
S.No
Years
Count(Y)
X
Y2
XY
1
2011
410
-5
25
-2050
2
2012
477
-4
16
-1908
3
2013
497
-3
9
-1491
4
2014
562
-2
4
-1124
5
2015
552
-1
1
-552
6
2016
600
1
1
600
7
2017
533
2
4
1066
8
2018
576
3
9
1728
9
2019
575
4
16
2300
10
2020
692
5
25
3460
Total
5474
110
2029
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A straight line equation is adapted to measure the future value based on previous data. The
time series analysis study reveals that, the estimated growth values are identified based on
previous data. Time series analysis used by Jeyshankar and Ramesh babu (2013).[31]
This study identified the future prediction of Leukemia research publications in India for the
year 2025 and 2030.
Straight Line Equation is
Y = a + bx
Here,
∑Y = 5474, ∑X2 = 110, ∑XY = 2029
a= ∑Y/N = 5474/10 = 547.4 = 547
b= ∑XY/ X2 = 2029/110 = 18.4 = 18
The growth of estimate publications in the year 2025 is, when x = 2025-2015 = 10
Y = a + bx
= 547+ (110*10) = 547+1100 = 1647
The growth of estimate publications in the year 2030 is, when x = 2030-2015 = 15
Y = a + bx
= 547 + (110*15) = 547 + 1650 = 2197
The estimated growth based on a time series analysis statistical application will be expected
in the Leukemia research publications in Indian in the year 2025 is around are equal to 1647
publications and the year 2030 is around are equal to 2197 publications. So that time serious
analysis study conformed Leukemia research publications in India is increasing trend.
Top 10 Highly Cited Leukemia Research Publications in India
Table 14: Top 10 Highly Cited Leukemia Research Publications in India.
S.No
Titles
Citations
Document
Type
1
Ferlay, J. 2015) Cancer incidence and mortality worldwide: Sources,
methods and major patterns in GLOBOCAN 2012, International Journal of
Cancer, 136(5): 359-386.
18098
Article
2
Vos T(2017) Global, regional, and national incidence, prevalence, and years
lived with disability for 328 diseases and injuries for 195 countries, 1990-
2016: A systematic analysis for the Global Burden of Disease Study 2016,
The Lancet, 390(10100):1211-1259.
2529
Article
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3
Fitzmaurice, C., (2017) Global, regional, and national cancer incidence,
mortality, years of life lost, years lived with disability, and disability-
adjusted life-years for 32 cancer groups, 1990 to 2015: A Systematic
Analysis for the Global Burden of Disease Study Global Burden of Disease
Cancer Collaboration, JAMA Oncology, 3(4): 524-548.
2040
Review
4
Mehata, S. (2017) Global, regional, and national age-sex specifc mortality
for 264 causes of death, 1980-2016: A systematic analysis for the Global
Burden of Disease Study 2016, The Lancet, 390(10100):1151-1210.
2012
Article
5
Allemani C (2015) Global surveillance of cancer survival 1995-2009:
Analysis of individual data for 25 676 887 patients from 279 population-
based registries in 67 countries (CONCORD-2), The Lancet, 385(9972):977-
1010.
1313
Article
6
Hay S.I (2017) Global, regional, and national disability-adjusted life-years
(DALYs) for 333 diseases and injuries and healthy life expectancy (HALE)
for 195 countries and territories, 1990-2016: A systematic analysis for the
Global Burden of Disease Study 2016, The Lancet, 390(10100): 1260-1344.
933
Article
7
Fitzmaurice, C. (2018) Global, regional, and national cancer incidence,
mortality, years of life lost, years lived with disability, and disability-
adjusted life-years for 29 cancer groups, 1990 to 2016 a systematic analysis
for the global burden of disease study global burden of disease cancer
collaboration, JAMA Oncology, 4(11): 1553-1568.
676
Article
8
Bulbake, U., (2017) Liposomal formulations in clinical use: An updated
review, Pharmaceutics, 9(2): Article No. 12.
658
Review
9
Premanathan, M. (2011) Selective toxicity of ZnO nanoparticles toward
Gram-positive bacteria and cancer cells by apoptosis through lipid
peroxidation, Nanomedicine: Nanotechnology, Biology, and Medicine, 7(2):
184-192.
658
Article
10
Kantarjian, H.M., (2012) Dasatinib or imatinib in newly diagnosed chronic-
phase chronic myeloid leukemia: 2-Year follow-up from a randomized
phase 3 trial (DASISION), Blood, 119(5):1123-1129.
436
Article
Table 15 indicates the high cited top 10 Leukemia research publications in India for the
selected ten year study period. From the study it is identified that, maximum number of
18098 citations are received by Ferlay, J.,(2015) Cancer incidence and mortality worldwide:
Sources, methods and major patterns in GLOBOCAN 2012, International Journal of Cancer,
136(5): 359-386.
Followed by 2529 citations from Vos,.T(2017) Global, regional, and national incidence,
prevalence, and years lived with disability for 328 diseases and injuries for 195 countries,
1990-2016: A systematic analysis for the Global Burden of Disease Study 2016, The Lancet,
390(10100):1211-1259.
Third rank by 2040 citations from Fitzmaurice, C., (2017) Global, regional, and national
cancer incidence, mortality, years of life lost, years lived with disability, and disability-
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adjusted life-years for 32 cancer groups, 1990 to 2015: A Systematic Analysis for the Global
Burden of Disease Study Global Burden of Disease Cancer Collaboration, JAMA Oncology,
3(4): 524-548. The top ten highly cited leukemia research publications in India are
contributed 8 articles and 2 review papers.
Major Finding
The year-wise growth of leukemia research publications during the 10-year study period
between 2011 and 2020 with 5,474 research publications and 86,869 citations. From the
study, it is identified that the maximum of 692 (12.64%) research publications are
contributed in the year 2020, the average research publication per year is 547.4.
From the study, out of 5,474 publications, 4,228 (100%) research publications are cited
publications, and 1,246 (100%) research publications are uncited publications. The
maximum of citation per paper is 47.69 in the year 2015
The relative growth rate is 0.77 in the year 2012 and 0.14 in the year 2019. This study
confirmed that, relative growth rate is decreasing trend from 2012 to 2020. At the same
time, doubling time is found that 0.90 in the year 2012 and 5.13 in the year 2020. It is
conformed that doubling time is increasing trend during the study period.
The authorship pattern is more than five authorship mode with 1,910 (34.89%)
publications, the average degree of collaboration is 0.97, and the majority of leukemia
research publications are contributed by collaborative authors.
During the maximum of CC value is 0.74 in the year 2018, and minimum of CC value is
0.69 in the year 2011. The average CC value is 0.76. The the maximum of CI value is
4.44 in the year 2017 and a minimum of CI value is 4.02 in the year 2011.The average CI
value 4.30. The maximum of MCC value is 4.47, and a minimum of MCC value is 4.03.
The average value is 4.32.
CAI for single and two authorship contributions are decreasing trend from 1st block year
to 2nd block year. At the same time CAI is increasing trend for three authors and more
than three authors from 1st block year to 2nd block years (98.52) to (101.24).
During the study a maximum of 128(17.16%) research publications are contributed by
Malhotra, P. India and his publications are received 499(8.96%) citations, CPP is 3.90, h-
index is 10 and RCI value is 0.52.
The study document type of a maximum of 3837(70.09%) research publications are
contributed by Article, followed by 683(12.48%) research publications are Review and
third-placed in Letter with 471(8.60%) research publications
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During the maximum number of 404(23.82%) publications are contributed by All India
Institute of Medical Sciences, New Delhi and it is received 10,390(14.88%) citations,
CPP is 25.72, h-index is 21 and RCI value is 0.62..
The study maximum of 266(24.14%) research publications are contributed by Indian
Journal of Hematology and Blood Transfusion and it is received by 64(1.97%) citations,
CPP is 0.24, h-index is 10 and RCI value is 0.08.
Collaborator country the maximum of 462(37.90%) research publications are collaborated
by United States of America. Followed by United Kingdom with 130(10.66%) research
publications, Canada with 100(8.20%) research publications.
The time series analysis statistical application will be expected in the Leukemia research
publications in Indian in the year 2025 is around are equal to 1647 publications and the
year 2030 is around are equal to 2197 publications. So that time serious analysis study
conformed Leukemia research publications in India is increasing trend.
The highly cited paper of 18098 citations are received by Ferlay, J (2015) Cancer
incidence and mortality worldwide: Sources, methods and major patterns in GLOBOCAN
2012, International Journal of Cancer, 136(5): 359-386.
CONCLUSION
It is identified in the ten-year study that leukemia research publications. This analysis
indicated pattern of different peripherals of the study such as future trend of literature, The
collaborator country the maximum of 462(37.90%) research publications are collaborated by
United States of America, the maximum of 266(24.14%) research publications are
contributed by Indian journal of hematology and blood transfusion, and a maximum of
128(17.16%) research publications are contributed by Malhotra, P. India and his publications.
The average degree of collaboration is 0.97, the maximum number of 404(23.82%)
publications are contributed by all India institute of medical sciences, New Delhi. The Asian
countries leukemia research particularly needed more research is evaluate. In this studies
would be helpful any research area output. The collaborative projects will produce improved
research output and exchange of information in any subject in national and international.
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We used the GBD cause of death database composed of: vital registration (VR) data corrected for under-registration and garbage coding; national and subnational verbal autopsy (VA) studies corrected for garbage coding; and other sources including surveys and surveillance systems for specific causes such as maternal mortality. To facilitate assessment of quality, we reported on the fraction of deaths assigned to GBD Level 1 or Level 2 causes that cannot be underlying causes of death (major garbage codes) by location and year. Based on completeness, garbage coding, cause list detail, and time periods covered, we provided an overall data quality rating for each location with scores ranging from 0 stars (worst) to 5 stars (best). We used robust statistical methods including the Cause of Death Ensemble model (CODEm) to generate estimates for each location, year, age, and sex. We assessed observed and expected levels and trends of cause-specific deaths in relation to the Socio-demographic Index (SDI), a summary indicator derived from measures of average income per capita, educational attainment, and total fertility, with locations grouped into quintiles by SDI. Relative to GBD 2015, we expanded the GBD cause hierarchy by 18 causes of death for GBD 2016. Findings: The quality of available data varied by location. Data quality in 25 countries rated in the highest category (5 stars), while 48, 30, 21, and 44 countries were rated at each of the succeeding data quality levels. Vital registration or verbal autopsy data were not available in 27 countries, resulting in the assignment of a zero value for data quality. Deaths from non-communicable diseases (NCDs) represented 72·3% (95% uncertainty interval [UI] 71·2–73·2) of deaths in 2016 with 19·3% (18·5–20·4) of deaths in that year occurring from communicable, maternal, neonatal, and nutritional (CMNN) diseases and a further 8·43% (8·00–8·67) from injuries. Although age-standardised rates of death from NCDs decreased globally between 2006 and 2016, total numbers of these deaths increased; both numbers and age-standardised rates of death from CMNN causes decreased in the decade 2006–16—age-standardised rates of deaths from injuries decreased but total numbers varied little. In 2016, the three leading global causes of death in children under-5 were lower respiratory infections, neonatal preterm birth complications, and neonatal encephalopathy due to birth asphyxia and trauma, combined resulting in 1·80 million deaths (95% UI 1·59 million to 1·89 million). Between 1990 and 2016, a profound shift toward deaths at older ages occurred with a 178% (95% UI 176–181) increase in deaths in ages 90–94 years and a 210% (208–212) increase in deaths older than age 95 years. The ten leading causes by rates of age-standardised YLL significantly decreased from 2006 to 2016 (median annualised rate of change was a decrease of 2·89%); the median annualised rate of change for all other causes was lower (a decrease of 1·59%) during the same interval. Globally, the five leading causes of total YLLs in 2016 were cardiovascular diseases; diarrhoea, lower respiratory infections, and other common infectious diseases; neoplasms; neonatal disorders; and HIV/AIDS and tuberculosis. 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The present study examined 10905 world publication output in solar cell research for five different years, i.e. 1991, 1995, 2000, 2005 and 2010 as indexed in Science Citation Index-Expanded (SCI-E). It found that global solar cell research effort is concentrated among twelve countries led by USA and followed by China where India is positioned at sixth place. The majority of output emerged from academic institutions and the major emphasis has been on aspects of research pertaining to chemical sciences. Chinese Academy of Sciences outperformed all other institutions, however, its impact was relatively lower than other prolific institutions. Making use of various bibliometric indicators the study evaluated various dimensions reflected by the world solar cell research output. © 2016, National Institute of Science Communication and Information Resources (NISCAIR). All rights reserved.
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Worldwide data for cancer survival are scarce. We aimed to initiate worldwide surveillance of cancer survival by central analysis of population-based registry data, as a metric of the effectiveness of health systems, and to inform global policy on cancer control. Individual tumour records were submitted by 279 population-based cancer registries in 67 countries for 25·7 million adults (age 15-99 years) and 75 000 children (age 0-14 years) diagnosed with cancer during 1995-2009 and followed up to Dec 31, 2009, or later. We looked at cancers of the stomach, colon, rectum, liver, lung, breast (women), cervix, ovary, and prostate in adults, and adult and childhood leukaemia. Standardised quality control procedures were applied; errors were corrected by the registry concerned. We estimated 5-year net survival, adjusted for background mortality in every country or region by age (single year), sex, and calendar year, and by race or ethnic origin in some countries. Estimates were age-standardised with the International Cancer Survival Standard weights. 5-year survival from colon, rectal, and breast cancers has increased steadily in most developed countries. For patients diagnosed during 2005-09, survival for colon and rectal cancer reached 60% or more in 22 countries around the world; for breast cancer, 5-year survival rose to 85% or higher in 17 countries worldwide. Liver and lung cancer remain lethal in all nations: for both cancers, 5-year survival is below 20% everywhere in Europe, in the range 15-19% in North America, and as low as 7-9% in Mongolia and Thailand. Striking rises in 5-year survival from prostate cancer have occurred in many countries: survival rose by 10-20% between 1995-99 and 2005-09 in 22 countries in South America, Asia, and Europe, but survival still varies widely around the world, from less than 60% in Bulgaria and Thailand to 95% or more in Brazil, Puerto Rico, and the USA. For cervical cancer, national estimates of 5-year survival range from less than 50% to more than 70%; regional variations are much wider, and improvements between 1995-99 and 2005-09 have generally been slight. For women diagnosed with ovarian cancer in 2005-09, 5-year survival was 40% or higher only in Ecuador, the USA, and 17 countries in Asia and Europe. 5-year survival for stomach cancer in 2005-09 was high (54-58%) in Japan and South Korea, compared with less than 40% in other countries. By contrast, 5-year survival from adult leukaemia in Japan and South Korea (18-23%) is lower than in most other countries. 5-year survival from childhood acute lymphoblastic leukaemia is less than 60% in several countries, but as high as 90% in Canada and four European countries, which suggests major deficiencies in the management of a largely curable disease. International comparison of survival trends reveals very wide differences that are likely to be attributable to differences in access to early diagnosis and optimum treatment. Continuous worldwide surveillance of cancer survival should become an indispensable source of information for cancer patients and researchers and a stimulus for politicians to improve health policy and health-care systems. Canadian Partnership Against Cancer (Toronto, Canada), Cancer Focus Northern Ireland (Belfast, UK), Cancer Institute New South Wales (Sydney, Australia), Cancer Research UK (London, UK), Centers for Disease Control and Prevention (Atlanta, GA, USA), Swiss Re (London, UK), Swiss Cancer Research foundation (Bern, Switzerland), Swiss Cancer League (Bern, Switzerland), and University of Kentucky (Lexington, KY, USA). Copyright © 2014 Allemani et al. Open Access article distributed under the terms of CC BY. Published by Elsevier Ltd. All rights reserved.