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Improving the evaluation of worldwide biomedical research output: classification method and standardised bibliometric indicators by disease.

ABSTRACT: OBJECTIVE:Since most biomedical research focuses on a specific disease, evaluation of research output requires disease-specific bibliometric indicators. Currently used methods are insufficient. The aim of this study is to develop a method that enables detailed analysis of worldwide biomedical research output by disease. DESIGN:We applied text mining techniques and analysis of author keywords to link publications to disease groups. Fractional counting was used to quantify disease-specific biomedical research output of an institution or country. We calculated global market shares of research output as a relative measure of publication volume. We defined 'top publications' as the top 10% most cited publications per disease group worldwide. We used the percentage of publications from an institution or country that were top publications as an indicator of research quality. RESULTS:We were able to classify 54% of all 6.5?million biomedical publications in our database (based on Web of Science) to a disease group. We could classify 78% of these publications to a specific institution. We show that between 2000 and 2012,'other infectious diseases' were the largest disease group with 337?485 publications. Lifestyle diseases, cancers and mental disorders have grown most in research output. The USA was responsible for the largest number of top 10% most cited publications per disease group, with a global share of 45%. Iran (+3500%) and China (+700%) have grown most in research volume. CONCLUSIONS:The proposed method provides a tool to assess biomedical research output in new ways. It can be used for evaluation of historical research performance, to support decision-making in management of research portfolios, and to allocate research funding. Furthermore, using this method to link disease-specific research output to burden of disease can contribute to a better understanding of the societal impact of biomedical research.

SUBMITTER: van de Laar L

PROVIDER: S-EPMC5988175 | biostudies-literature | 2018 Jun

REPOSITORIES: biostudies-literature

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Improving the evaluation of worldwide biomedical research output: classification method and standardised bibliometric indicators by disease.

van de Laar Lissy L de Kruif Thijs T Waltman Ludo L Meijer Ingeborg I Gupta Anshu A Hagenaars Niels N

BMJ open 20180604 6

<h4>Objective</h4>Since most biomedical research focuses on a specific disease, evaluation of research output requires disease-specific bibliometric indicators. Currently used methods are insufficient. The aim of this study is to develop a method that enables detailed analysis of worldwide biomedical research output by disease.<h4>Design</h4>We applied text mining techniques and analysis of author keywords to link publications to disease groups. Fractional counting was used to quantify disease-s ...[more]

PMID: 29866730

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Project description:IntroductionThe prevalence of smoking among persons with a mental illness has remained unchanged, being 2-3 times higher than the general population in high-income countries. Assessment of the volume and characteristics of research output over time can assist in identifying research priorities to promote progress within a field. The aim of this study was to undertake such an assessment in the field of smoking and mental illness.MethodsA descriptive repeat cross-sectional study was conducted of peer-reviewed publications in Medline and PsycINFO for the periods 1993-1995, 2003-2005, and 2013-2015. Publications were classified as data- or non-data-based; data-based publications were further categorized by study type, population, setting, and for intervention-focused publications by level of evidence and research translation phase.ResultsIncluded were 547 articles published in 1993-1995 (n = 65), 2003-2005 (n = 153), and 2013-2015 (n = 329). The number and proportion of data-based publications significantly increased over time, although their focus remained predominantly descriptive (≥83%); less than 14% of publications in any period had an intervention focus. The proportion of publications reporting on study populations with multiple diagnostic categories and recruiting from nonmental health settings, significantly increased from 1993-1995 to 2003-2005, however then plateaued by 2013-2015. The level of evidence provided by intervention-focused publications was suggested to increase over time, however there was no evident variation in translation phase.ConclusionsResearch has increased over time to characterize smoking among those with a mental illness; however more is needed to inform the development and implementation of effective cessation interventions for this group.ImplicationsThis is the first study to examine the volume and characteristics of research publications in the field of smoking and mental illness over time. The number of publications increased fivefold between 1993-1995 and 2013-2015. Between 1993-1995 and 2003-2005, progression was also indicated by increased: data-based publications, diagnostic diversity of samples, and variation in study settings; however further increases in such measures were not evident in 2013-2015. Notably, it continues to be the case that few intervention studies are undertaken. To achieve meaningful changes in the smoking prevalence of this group, a greater focus on research that assesses the effectiveness and implementation of tailored cessation interventions is required.

Project description:BackgroundResearches on artificial livers greatly contribute to the clinical treatments for liver failure. This study aimed to evaluate the research output of artificial livers and citations from 2004 to 2017 through a bibliometric analysis.MethodsA list of included articles on artificial livers were generated after a comprehensive search of the Web of Science Core Collection (from 2004 to 2017) with the following basic information: number of publications, citations, publication year, country of origin, authors and authorship, funding source, journals, institutions, keywords, and research area.ResultsA total of 968 included articles ranged from 47 citations to 394 citations with a fluctuation. The publications were distributed in 12 countries, led by China (n = 212) and the US (n = 207). There were strong correlations of the number of citations with authors (r 2 = 0.133, p < 0.001), and countries (r 2 = 0.275, p < 0.001), while no correlations of the number of citations with the years since publication (r 2 = 0.016, p = 0.216), and funding (r 2 < 0.001, p = 0.770) were identified. Keyword analysis demonstrated that with the specific change of "acute liver failure," decrease in "bioartificial livers" and "hepatocyte," and increase in "tissue engineering" were identified. The top 53 cited keyword and keyword plus (including some duplicates counts) were identified, led by bioartificial liver (405 citations) and hepatocyte (248 citations). The top 50 cited keywords bursts were mainly "Blood" (2004-2008), "hepatocyte like cell" (2008-2015), and "tissue engineering" (2014-2017). All keywords could be classified into four categories: bioartificial livers (57.40%), blood purification (25.00%), clinical (14.81%), and other artificial organs (2.78%).DiscussionThis study shows the process and tendency of artificial liver research with a comprehensive analysis on artificial livers. However, although it seems that the future of artificial livers seems brighter for hepatocyte transplantation, the systems of artificial livers now are inclined on focusing on blood purification, plasma exchange, etc.

Dataset Information

Improving the evaluation of worldwide biomedical research output: classification method and standardised bibliometric indicators by disease.

Publications

Improving the evaluation of worldwide biomedical research output: classification method and standardised bibliometric indicators by disease.

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