Using bibliometrics to evaluate outcomes and influence of translational biomedical research centers

Bragg, Kristine M.; Marchand, Gwen C.; Hilpert, Jonathan C.; Cummings, Jeffrey L.

doi:10.1017/cts.2021.863

Cited by 5 publications

(5 citation statements)

References 40 publications

(62 reference statements)

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“…Bibliometric and network analyses were used to provide a quantitative, informed description of research productivity, citation impact, and the scope of research collaboration from RDCRN-supported articles during the period 2003–2020. 12 , 13 Although bibliometric analysis does not provide a complete picture of all scientific communication necessary for translation, most of the biomedical knowledge and discoveries that lay the foundation for clinical practice will pass through the academic literature in some form. Thus, examining bibliometric patterns of how research findings are documented and shared in the literature is one method of charting the progress of translational science.…”

Section: Objectivesmentioning

confidence: 99%

The Rare Diseases Clinical Research Network: a model for clinical trial readiness

Lumsden,

Urv

2023

Therapeutic Advances in Rare Disease

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Background: The current road to developing treatments for rare diseases is often slow, expensive, and riddled with risk. Change is needed to improve the process, both in how we think about rare disease treatment development and the infrastructure we build to support ongoing science. The National Institutes of Health (NIH)-supported Rare Diseases Clinical Research Network (RDCRN) was established to advance the diagnosis, management, and treatment of rare diseases and to promote highly collaborative, multi-site, patient-centric, translational, and clinical research. The current iteration of the RDCRN intends to build upon and enhance successful approaches within the network while identifying innovative methods to fill gaps and address needs in the approach to the rare disease treatment development process through innovation, collaboration, and clinical trial readiness. Objective: The objective of this paper is to provide an overview of the productivity and influence of the RDCRN since it was first established 20 years ago. Design and methods: Using a suite of tools available to NIH staff that provides access to a comprehensive, curated, extensively linked data set of global grants, patents, publications, clinical trials, and FDA-approved drugs, a series of queries were executed that conducted bibliometric, co-author, and co-occurrence analysis. Results: The results demonstrate that the entire RDCRN consortia and network has been highly productive since its inception. They have produced 2763 high-quality publications that have been cited more than 100,000 times, expanded international networks, and contributed scientifically to eight FDA-approved treatments for rare diseases. Conclusion: The RDCRN program has successfully addressed some significant challenges while developing treatments for rare diseases. However, looking to the future and being agile in facing new challenges that arise as science progresses is important.

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Section: Objectivesmentioning

confidence: 99%

The Rare Diseases Clinical Research Network: a model for clinical trial readiness

Lumsden,

Urv

2023

Therapeutic Advances in Rare Disease

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“…better than journal impact factor, citations per year, or the Thompson-Reuters ratio [11,26,27]. Establishing consensus about methods to quantify success and productivity of large research groups may be important to justify continued funding or establishing new networks [28,29]. Self-citation and publication frequency among network coauthors has the potential to inflate RCRs, but the effect is minimized by the wide range of study topics that limit the extent of self-citation (numerator), while articles overly benefitting from self-citation would increase the field citation rate (denominator).…”

Section: Discussionmentioning

confidence: 99%

Structure, function, and productivity from the National Dental Practice-Based Research Network

Gilbert¹,

Fellows²,

Allareddy³

et al. 2022

J. Clin. Trans. Sci.

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“…If an article has more than one region or institution, the region and institution of the last corresponding author are recorded. The keywords were further visualized using the package bibliometrix through RStudio and VOSviewer ( 18 ).…”

Section: Methodsmentioning

confidence: 99%

Characteristics and hotspots of the 50 most cited articles in the field of pre-psoas oblique lumbar interbody fusion

et al. 2022

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PurposeIn the past decade, the field of pre-psoas oblique lumbar interbody fusion (OLIF) has developed rapidly, and with it, the literature on OLIF has grown considerably. This study was designed to analyze the top 50 articles in terms of the number of citations through bibliometric research to demonstrate the research characteristics and hotspots of OLIF.MethodSearching the Web of Science database yielded the 50 most cited publications in the OLIF field as of July 10, 2022. The publications were ranked according to the number of citations. The following sources were evaluated: the year of publications, the number of citations, authors, countries, institutions, journals, research topics, and keyword hotspots.ResultsThe most productive period was from 2017 to 2020, with 41 articles. The number of citations varied from 10 to 140, with an average of 35.52, and 1,776 citations were found. World Neurosurgery published the most articles (12), China produced the most articles (16), and the Catholic University of Korea produced the most studies (6). The corresponding author who produced the most articles was J.S. Kim (5), and the first author who produced the most publications was S. Orita (3). The main research topics were anatomical morphology, surgical techniques, indications, outcomes, and complications. The top 10 most cited keywords were “complications,” “decompression,” “spine,” “surgery,” “outcomes,” “transpsoas approach,” “spondylolisthesis,” “anterior,” “disease,” and “injury.”ConclusionsCertain articles can be distinguished from others using citation analysis as an accurate representation of their impact due to their long-term effectiveness and peer recognition. With these publications, researchers are provided with research priorities and hotspots through influential literature in the field of OLIF.

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Using bibliometrics to evaluate outcomes and influence of translational biomedical research centers

Abstract: This version may be subject to change during the production process.

Cited by 5 publications

References 40 publications

The Rare Diseases Clinical Research Network: a model for clinical trial readiness

The Rare Diseases Clinical Research Network: a model for clinical trial readiness

Structure, function, and productivity from the National Dental Practice-Based Research Network

Characteristics and hotspots of the 50 most cited articles in the field of pre-psoas oblique lumbar interbody fusion

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