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Highly cited papers in Takayasu arteritis on Web of Science and Scopus: cross-sectional analysis

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Abstract

Background

Takayasu arteritis (TAK) is a large vessel vasculitis affecting relatively younger population. Since literature on bibliometric analysis of TAK is scarce, we analyzed top-cited articles in TAK to address this knowledge gap.

Methods

We analyzed the top hundred cited articles in TAK on Web of Science and Scopus for time of publication, article type, country of origin, source journal, and authors. Furthermore, we conducted univariable- and multivariable-adjusted linear regression analyses to explore associations of rank of cited articles, mean number of annual citations, and total citations with traditional (journal impact factor, CiteScore) and alternative (PlumX) metrics.

Results

Concordance between databases was 76%. Most top-cited articles were from the USA, Japan, or the UK, and published in Annals of the Rheumatic Diseases, Arthritis and Rheumatism, and Circulation and Rheumatology (Oxford). Original articles comprised a majority of these top-cited articles. Articles describing criteria or disease management recommendations received the highest mean number of citations. Performing multivariable-adjusted linear regression analyses, years of publication associated with mean annual citations on Web of Science as well as total citations across databases (p < 0.01). The 2-year JIF significantly associated with mean annual citations on Web of Science (p = 0.047). On Scopus, the number of captures denoted under PlumX metrics consistently associated with citations (p < 0.001).

Conclusion

Both traditional and alternative metrics associate with higher citations in TAK. Development of disease assessment and clinical practice guidelines and conduct and reporting of randomized controlled trials to guide TAK management are important research areas. The key points themselves are all right.

Key Points

• A majority of top-cited papers in TAK are original articles.

• Both traditional and alternative metrics associate with number of citations for these papers.

• Recommendations for disease assessment or clinical practice and clinical trials are important research agenda in TAK.

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Fig. 1

Abbreviations

FWCI:

Field-weighted citation impact

GCA:

Giant cell arteritis

JIF:

Journal Impact Factor

RCT:

Randomized controlled trial

SD:

Standard deviation

TAK:

Takayasu arteritis

UK:

United Kingdom

USA:

United States of America

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Authors and Affiliations

  1. Department of Clinical Immunology and Rheumatology, Sanjay Gandhi Postgraduate Institute of Medical Sciences (SGPGIMS), Lucknow, 226014, India

    Durga Prasanna Misra & Vikas Agarwal

  2. Departments of Rheumatology and Research and Development, Dudley Group NHS Foundation Trust (Teaching Trust of the University of Birmingham, UK), Russells Hall Hospital, Dudley, West Midlands, UK

    Armen Yuri Gasparyan

  3. Department of Internal Medicine #2, Danylo Halytsky Lviv National Medical University, Lviv, Ukraine

    Olena Zimba

  4. Clinical Immunology and Rheumatology Services, Department of Internal Medicine, Postgraduate Institute of Medical Education and Research (PGIMER), Chandigarh, 160012, India

    Aman Sharma

Authors
  1. Durga Prasanna Misra
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  2. Vikas Agarwal
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  3. Armen Yuri Gasparyan
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  4. Olena Zimba
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  5. Aman Sharma
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Contributions

The conception and design of the study: DPM, AYG, OZ; acquisition of data, analysis, and interpretation of data: DPM, VA, AS, AYG, OZ; drafting the article: DPM, VA, AS; revising it critically for important intellectual content: OZ, AYG; final approval of the version to be submitted: DPM, VA, AYG, OZ, AS; agreement to be accountable for all aspects of the work in ensuring that questions related to the accuracy or integrity of any part of the work are appropriately investigated and resolved: DPM, VA, AYG, OZ, AS.

Corresponding author

Correspondence to Durga Prasanna Misra.

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Misra, D.P., Agarwal, V., Gasparyan, A.Y. et al. Highly cited papers in Takayasu arteritis on Web of Science and Scopus: cross-sectional analysis. Clin Rheumatol 41, 129–135 (2022). https://doi.org/10.1007/s10067-021-05901-6

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