Type 2 Diabetes Research Yield, 1951-2012: Bibliometrics Analysis and Density-Equalizing Mapping

Geaney, Fiona; Scutaru, Cristian; Kelly, Clare B.; Glynn, Ronan W; Perry, Ivan J.

doi:10.1371/journal.pone.0133009

Cited by 65 publications

(49 citation statements)

References 26 publications

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“…Bibliometric analysis is a statistical method for assessing both the quantitative and qualitative scope and adequacy of research efforts attained in an area of interest [41]. It can be used to determine national and international research focus and evaluate research performance in order to identify future research priorities, funding sources, and interdisciplinary collaborations [42][43][44]. It also provides a resource to policy-makers for implementing necessary prophylactic measures in case the analysis reveals a sharp increase in case reports or articles regarding a health issue in a particular geographic area [45,46].…”

Section: Introductionmentioning

confidence: 99%

A global bibliometric analysis of Plesiomonas-related research (1990 – 2017)

2018

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Plesiomonas shigelloides is an emerging pathogen with damaging effects on human health such as gastroenteritis and extraintestinal infections. Here, we carried out a bibliometric survey that aimed to examine publication trends in Plesiomonas-related research by time and place, international collaborative works, identify gaps and suggest directions for future research. The search term “Plesiomonas shigelloides” was used to retrieve articles published between 1990 and 2017 from the Web of Science database. Only primary research articles were included in the analysis. A total of 155 articles were published within the survey period, with an average of 5.54±2.66 articles per year and an annual growth rate of −0.8%. Research output peaked in 2000 and 2006 (each accounting for 7.7% of the total). The United States ranked first in terms of numbers of articles (n = 29, 18.1%) and total citations (n = 451). Cameroon, Canada, Cuba, Switzerland and Turkey co-shared the 10th position each with 2 articles (1.3%). Research collaboration was low (collaboration index = 3. 32). In addition to Plesiomonas shigelloides (n = 82, 52.9%), the top Authors Keywords and research focus included lipopolysaccharide and nuclear magnetic resonance (n = 13, 8.4%). Diarrhea (n = 43, 27.7%), Aeromonas species (n = 41, 26.5%) and infections (n = 31, 20.0%) were also highly represented in Keywords-Plus. Authors’ collaborations and coupling networks formed two mega-clusters which nodes were shared solely by authors from high-income countries. The common conceptual framework in retrieved articles determined by K-means clustering revealed three clusters with sizes of 7, 16, and 29, representing research responses focused on extraintestinal and gastroenteritis, P. shigelloides lipopolysaccharide structure, and co-infections, respectively. Our bibliometric analysis revealed a global diminishing research in Plesiomonas; greater research outcomes from high-income countries compared to others and low collaboration with developing countries.

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Section: Introductionmentioning

confidence: 99%

A global bibliometric analysis of Plesiomonas-related research (1990 – 2017)

2018

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“…The aim was to map research activity and assist research funding organizations such as the Commission to identify gaps and overlaps in the current state of diabetes research, and point out areas on which to focus future strategies. Previous studies that have applied a bibliometric approach to the outputs of diabetes research have mainly focused on a specific type of diabetes [4] or on another geographical area [5][6][7]. The DIAMAP website gives details of funders and researchers in Europe, but does not list individual papers [8].…”

Section: Introductionmentioning

confidence: 99%

European diabetes research and its funding, 2002–2013

et al. 2017

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Aim This study examined the outputs of research papers in diabetes from 31 European countries between 2002 and 2013, and their funding.Methods Diabetes research papers in the Web of Science were identified by means of a filter based on journals and title words. For 2009-2013 papers, the funders were coded to show their sector and nationality.Results Europe published 40 547 diabetes papers in the 12 years between 2002 and 2013. Denmark, Sweden and Finland published the most relative to their wealth, but the UK published the most absolutely despite an apparently low burden (as measured by disability-adjusted life years). The largest source of funding was government (30%), followed by the non-profit sector (18%) and industry (13%). The European Commission supported 2.7% of papers, but more in Latvia (33%) and Estonia (16%). Based on an estimated cost per paper of €260 000, the annual research expenditure in Europe was approximately €986 million in 2013.Conclusions The European diabetes burden in disability-adjusted life years increased by one third between 2002 and 2012, but its output of research papers has decreased from 44% to 36% of the world total. This decrease needs to be reviewed in the context of European non-communicable disease research policy. Diabet. Med. 34, 1354-1360 Introduction Diabetes represents a major global health problem and, together with other non-communicable diseases, has led to a major policy document on its prevention and control from the World Health Organization (WHO) [1]. Worldwide, 1.5 million deaths were directly associated with diabetes in 2012, and 2.2 million more were related to high blood glucose [2]. In the European region in 2015, almost 60 million people had diabetes. Based on data from the WHO website on the disease burden for the 31 European countries (EUR31; the 28 European Union Member States, plus Iceland, Norway and Switzerland) between 2002 and 2012, the average percentage of disability-adjusted life years (DALYs) from diabetes increased from 2.0% to 2.6% [3]. In 2012, the figure ranged from 1.3% in the UK to 4.9% in Cyprus. Countries in the Mediterranean and Southern Europe (Portugal 4.3%, Spain 3.7%, and Italy 3.5%) had the highest levels, except for Greece (2.2%). Besides the UK, the lowest percentages occurred in Romania, Lithuania and Finland (1.8%) and Iceland (2.0%).This paper presents the results of a bibliometric study of outputs (i.e. scientific papers) and funding for diabetes research from 2002 to 2013. The study, of the EUR31 countries, was performed as part of the Mapping NonCommunicable Diseases (NCD) project, funded by the European Commission under the 7th Framework Programme. The aim was to map research activity and assist research funding organizations such as the Commission to identify gaps and overlaps in the current state of diabetes research, and point out areas on which to focus future strategies. Previous studies that have applied a bibliometric approach to the outputs of diabetes research have mainly focused on a specific type of diab...

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“…Seglen and Aksnes [9] used the size and the productivity of research groups in the microbiology field in Norway as a measurement for bibliometric analysis. Geaney et al [7] performed bibliometric analysis and density-equalizing mapping on scientific publications related to type 2 diabetes mellitus. They collected citation data and used various citation-oriented measures such as the number of citations, the average number of citations per journal, the total number of publications, impact factor, and eigenfactor score.…”

Section: Related Workmentioning

confidence: 99%

Analyzing the field of bioinformatics with the multi-faceted topic modeling technique

et al. 2017

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BackgroundBioinformatics is an interdisciplinary field at the intersection of molecular biology and computing technology. To characterize the field as convergent domain, researchers have used bibliometrics, augmented with text-mining techniques for content analysis. In previous studies, Latent Dirichlet Allocation (LDA) was the most representative topic modeling technique for identifying topic structure of subject areas. However, as opposed to revealing the topic structure in relation to metadata such as authors, publication date, and journals, LDA only displays the simple topic structure.MethodsIn this paper, we adopt the Tang et al.’s Author-Conference-Topic (ACT) model to study the field of bioinformatics from the perspective of keyphrases, authors, and journals. The ACT model is capable of incorporating the paper, author, and conference into the topic distribution simultaneously. To obtain more meaningful results, we use journals and keyphrases instead of conferences and bag-of-words.. For analysis, we use PubMed to collected forty-six bioinformatics journals from the MEDLINE database. We conducted time series topic analysis over four periods from 1996 to 2015 to further examine the interdisciplinary nature of bioinformatics.ResultsWe analyze the ACT Model results in each period. Additionally, for further integrated analysis, we conduct a time series analysis among the top-ranked keyphrases, journals, and authors according to their frequency. We also examine the patterns in the top journals by simultaneously identifying the topical probability in each period, as well as the top authors and keyphrases. The results indicate that in recent years diversified topics have become more prevalent and convergent topics have become more clearly represented.ConclusionThe results of our analysis implies that overtime the field of bioinformatics becomes more interdisciplinary where there is a steady increase in peripheral fields such as conceptual, mathematical, and system biology. These results are confirmed by integrated analysis of topic distribution as well as top ranked keyphrases, authors, and journals.Electronic supplementary materialThe online version of this article (doi:10.1186/s12859-017-1640-x) contains supplementary material, which is available to authorized users.

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Type 2 Diabetes Research Yield, 1951-2012: Bibliometrics Analysis and Density-Equalizing Mapping

Cited by 65 publications

References 26 publications

A global bibliometric analysis of Plesiomonas-related research (1990 – 2017)

A global bibliometric analysis of Plesiomonas-related research (1990 – 2017)

European diabetes research and its funding, 2002–2013

Analyzing the field of bioinformatics with the multi-faceted topic modeling technique

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