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CC BY 4.0 · TH Open 2022; 06(01): e80-e88
DOI: 10.1055/a-1760-0340
Review Article

Bibliometric Analysis of Publication Activity in the Field of GIANT Cell Arteritis: A SCOPUS-based Study

Syeda Beenish Bareeqa
1   Medical Graduate, Jinnah Medical and Dental College, Karachi, Pakistan
,
Syeda Sana Samar
2   Medical, Jinnah Sindh Medical University, Karachi, Pakistan
,
Sufiyan Kamal
2   Medical, Jinnah Sindh Medical University, Karachi, Pakistan
,
Fizza Zaman Khan
2   Medical, Jinnah Sindh Medical University, Karachi, Pakistan
,
Hafsa Shakeel
2   Medical, Jinnah Sindh Medical University, Karachi, Pakistan
,
Kanza Ali
2   Medical, Jinnah Sindh Medical University, Karachi, Pakistan
,
Syed Hasham Humayun
2   Medical, Jinnah Sindh Medical University, Karachi, Pakistan
,
Syed Ijlal Ahmed
2   Medical, Jinnah Sindh Medical University, Karachi, Pakistan
› Author Affiliations Funding The author(s) received no financial support for this article.
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Abstract

Objective Giant cell arthritis (GCA) is a type of vasculitis which is more common in female gender and is closely associated with Polymyalgia rheumatic. One of its important complication include visual impairment. The burden of disease is expected to be very high by 2050 and there is a need to compile the data on most influential studies on GCA to define future strategy to deal with this dangerous disease. Bibliometrics is a statistical analysis of published literature that reflects the value and impact of a particular publication within the specific field. Aim of our study is identify the most significant contributors and their quality of contribution in the field.

Method We conducted this analysis utilizing SCOPUS database using different related MeSH terms. After a detailed screening, the list of top-50 articles were presented in the results in descending order of their ranks on the basis of their total number of citation. Most of our data comprises of publications from 1971–2012.

Result The top-50 most cited articles on GCA were published between 1971 and 2012 with the median number of citations 274 ranging from 598–187. Annals of Internal Medicine was the top ranked journal with 13 publications from the list. The highly ranked author based on the number of publications was Hunder GG (20 publications) with h-index of 40, retaining affiliation with Mayo Clinic, Rochester, United States. Mayo Clinic was the most frequently mentioned institute among the affiliations. The United States was found to be the most productive country rendering most of the articles (64%).

Conclusion Our bibliometric analysis on Giant cell arteritis identifies the information which may direct future research contributions, identify field experts, guide researchers to fill knowledge gaps, and assist in research fund allocation.

Keywords

bibliometric - citation classics - vasculitis - giant cell arteritis - temporal arteritis - polymyalgia rheumatic

Authors Contribution

SIA and SSS developed the principle idea and drafted the initial manuscript. SIA, SBB, SSS extracted and refined the required data. SK, FZK contributed to data analysis and literature writing. HS, KA contributed to editing, charting of results and literature review. HA completed revision and approved final version of manuscript (pending).


All authors have equally contributed in conception, planning and preparation of data, compilation of data, literature search, analysis and generation of results and manuscript writing.


Supplementary Material



Publication History

Received: 05 January 2022

Accepted: 25 January 2022

Accepted Manuscript online:
03 February 2022

Article published online:
10 March 2022

© 2022. The Author(s). This is an open access article published by Thieme under the terms of the Creative Commons Attribution License, permitting unrestricted use, distribution, and reproduction so long as the original work is properly cited. (https://creativecommons.org/licenses/by/4.0/)

Georg Thieme Verlag KG
Rüdigerstraße 14, 70469 Stuttgart, Germany

 

  • References

  • 1 Weyand CM, Goronzy JJ. Giant-cell arteritis and polymyalgia rheumatica. Ann Intern Med 2003; 139 (06) 505-515
    CrossrefPubMedGoogle Scholar
  • 2 Salvarani C, Cantini F, Hunder GG. Polymyalgia rheumatica and giant-cell arteritis. Lancet 2008; 372 (9634): 234-245
    CrossrefPubMedGoogle Scholar
  • 3 De Smit E, Palmer AJ, Hewitt AW. Projected worldwide disease burden from giant cell arteritis by 2050. J Rheumatol 2015; 42 (01) 119-125
    CrossrefPubMedGoogle Scholar
  • 4 Agarwal A, Durairajanayagam D, Tatagari S. et al. Bibliometrics: tracking research impact by selecting the appropriate metrics. Asian J Androl 2016; 18 (02) 296-309
    CrossrefPubMedGoogle Scholar
  • 5 Garfield E. 100 citation classics from the Journal of the American Medical Association. JAMA 1987; 257 (01) 52-59
    CrossrefPubMedGoogle Scholar
  • 6 Gutiérrez-Salcedo M. et al. Some bibliometric procedures for analyzing and evaluating research fields. Appl Intell 2018; 48 (05) 1275-1287
    PubMedGoogle Scholar
  • 7 Tam WW, Wong EL, Wong FC, Hui DS. Citation classics: Top 50 cited articles in ‘respiratory system’. Respirology 2013; 18 (01) 71-81
    CrossrefPubMedGoogle Scholar
  • 8 Ponce FA, Lozano AM. Highly cited works in neurosurgery. Part II: the citation classics. J Neurosurg 2010; 112 (02) 233-246
    CrossrefPubMedGoogle Scholar
  • 9 O'Connor DJ, Gargiulo III NJ, Scher LA, Jang J, Lipsitz EC. One hundred vascular surgery citation “classics” from the surgical literature. J Vasc Surg 2011; 53 (04) 1150-1156
    CrossrefPubMedGoogle Scholar
  • 10 Elgafy HK, Miller JD, Hashmi S, Ericksen S. Top 20 cited Spine Journal articles, 1990-2009. World J Orthop 2014; 5 (03) 392-397
    CrossrefPubMedGoogle Scholar
  • 11 Murray MR, Wang T, Schroeder GD, Hsu WK. The 100 most cited spine articles. Eur Spine J 2012; 21 (10) 2059-2069
    CrossrefPubMedGoogle Scholar
  • 12 Shuaib W, Khan MS, Shahid H, Valdes EA, Alweis R. Bibliometric analysis of the top 100 cited cardiovascular articles. Am J Cardiol 2015; 115 (07) 972-981
    CrossrefPubMedGoogle Scholar
  • 13 Nieminen P, Carpenter J, Rucker G, Schumacher M. The relationship between quality of research and citation frequency. BMC Med Res Methodol 2006; 6 (01) 42
    CrossrefPubMedGoogle Scholar
  • 14 Borchers AT, Gershwin ME. Giant cell arteritis: a review of classification, pathophysiology, geoepidemiology and treatment. Autoimmun Rev 2012; 11 (6-7): A544-A554
    CrossrefPubMedGoogle Scholar
  • 15 Qu Y, Zhang C, Hu Z. et al. The 100 most influential publications in asthma from 1960 to 2017: A bibliometric analysis. Respir Med 2018; 137: 206-212
    CrossrefPubMedGoogle Scholar
  • 16 Pereira LS, Yoon MK, Hwang TN. et al. Giant cell arteritis in Asians: a comparative study. Br J Ophthalmol 2011; 95 (02) 214-216
    CrossrefPubMedGoogle Scholar
  • 17 Gruener AM, Poostchi A, Carey AR. et al. Association of giant cell arteritis with race. JAMA Ophthalmol 2019; 137 (10) 1175-1179
    CrossrefPubMedGoogle Scholar
  • 18 Gonzalez-Gay MA, Vazquez-Rodriguez TR, Lopez-Diaz MJ. et al. Epidemiology of giant cell arteritis and polymyalgia rheumatica. Arthritis Rheum 2009; 61 (10) 1454-1461
    CrossrefPubMedGoogle Scholar
  • 19 Oh YS, Galis ZS. Anatomy of success: the top 100 cited scientific reports focused on hypertension research. Hypertension 2014; 63 (04) 641-647
    CrossrefPubMedGoogle Scholar
  • 20 Zhao X, Guo L, Lin Y. et al. The top 100 most cited scientific reports focused on diabetes research. Acta Diabetol 2016; 53 (01) 13-26
    CrossrefPubMedGoogle Scholar
  • 21 Rad AE, Shahgholi L, Kallmes D. Impact of self-citation on the H index in the field of academic radiology. Acad Radiol 2012; 19 (04) 455-457
    CrossrefPubMedGoogle Scholar
  • 22 Fornaris-Cedeño Y, Corrales-Reyes IE, de Jesús Pérez-Martínez C. Trigeminal neuralgia: bibliometric analysis of the fifty top-cited articles in the period 2000–2016. Journal of Oral Research 2018; 7 (07) 245-254
    CrossrefPubMedGoogle Scholar
  • 23 Brookes BC. Bradford's law and the bibliography of science. Nature 1969; 224 (5223): 953-956
    CrossrefPubMedGoogle Scholar
  • 24 Kulkarni AV, Aziz B, Shams I, Busse JW. Comparisons of citations in Web of Science, Scopus, and Google Scholar for articles published in general medical journals. JAMA 2009; 302 (10) 1092-1096
    CrossrefPubMedGoogle Scholar
  • 25 Ramos MB, Koterba E, Rosi Júnior J, Teixeira MJ, Figueiredo EG. A Bibliometric Analysis of the Most Cited Articles in Neurocritical Care Research. Neurocrit Care 2019; 31 (02) 365-372
    CrossrefPubMedGoogle Scholar