Cargando…
Bibliometric Analysis of Publication Activity in the Field of GIANT Cell Arteritis: A SCOPUS-based Study
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 comp...
Autores principales: | , , , , , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Georg Thieme Verlag KG
2022
|
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8913176/ https://www.ncbi.nlm.nih.gov/pubmed/35280974 http://dx.doi.org/10.1055/a-1760-0340 |
_version_ | 1784667368542175232 |
---|---|
author | Bareeqa, Syeda Beenish Samar, Syeda Sana Kamal, Sufiyan Khan, Fizza Zaman Shakeel, Hafsa Ali, Kanza Humayun, Syed Hasham Ahmed, Syed Ijlal |
author_facet | Bareeqa, Syeda Beenish Samar, Syeda Sana Kamal, Sufiyan Khan, Fizza Zaman Shakeel, Hafsa Ali, Kanza Humayun, Syed Hasham Ahmed, Syed Ijlal |
author_sort | Bareeqa, Syeda Beenish |
collection | PubMed |
description | 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. |
format | Online Article Text |
id | pubmed-8913176 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Georg Thieme Verlag KG |
record_format | MEDLINE/PubMed |
spelling | pubmed-89131762022-03-11 Bibliometric Analysis of Publication Activity in the Field of GIANT Cell Arteritis: A SCOPUS-based Study Bareeqa, Syeda Beenish Samar, Syeda Sana Kamal, Sufiyan Khan, Fizza Zaman Shakeel, Hafsa Ali, Kanza Humayun, Syed Hasham Ahmed, Syed Ijlal TH Open 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. Georg Thieme Verlag KG 2022-03-10 /pmc/articles/PMC8913176/ /pubmed/35280974 http://dx.doi.org/10.1055/a-1760-0340 Text en 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/ ) https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Bareeqa, Syeda Beenish Samar, Syeda Sana Kamal, Sufiyan Khan, Fizza Zaman Shakeel, Hafsa Ali, Kanza Humayun, Syed Hasham Ahmed, Syed Ijlal Bibliometric Analysis of Publication Activity in the Field of GIANT Cell Arteritis: A SCOPUS-based Study |
title | Bibliometric Analysis of Publication Activity in the Field of GIANT Cell Arteritis: A SCOPUS-based Study |
title_full | Bibliometric Analysis of Publication Activity in the Field of GIANT Cell Arteritis: A SCOPUS-based Study |
title_fullStr | Bibliometric Analysis of Publication Activity in the Field of GIANT Cell Arteritis: A SCOPUS-based Study |
title_full_unstemmed | Bibliometric Analysis of Publication Activity in the Field of GIANT Cell Arteritis: A SCOPUS-based Study |
title_short | Bibliometric Analysis of Publication Activity in the Field of GIANT Cell Arteritis: A SCOPUS-based Study |
title_sort | bibliometric analysis of publication activity in the field of giant cell arteritis: a scopus-based study |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8913176/ https://www.ncbi.nlm.nih.gov/pubmed/35280974 http://dx.doi.org/10.1055/a-1760-0340 |
work_keys_str_mv | AT bareeqasyedabeenish bibliometricanalysisofpublicationactivityinthefieldofgiantcellarteritisascopusbasedstudy AT samarsyedasana bibliometricanalysisofpublicationactivityinthefieldofgiantcellarteritisascopusbasedstudy AT kamalsufiyan bibliometricanalysisofpublicationactivityinthefieldofgiantcellarteritisascopusbasedstudy AT khanfizzazaman bibliometricanalysisofpublicationactivityinthefieldofgiantcellarteritisascopusbasedstudy AT shakeelhafsa bibliometricanalysisofpublicationactivityinthefieldofgiantcellarteritisascopusbasedstudy AT alikanza bibliometricanalysisofpublicationactivityinthefieldofgiantcellarteritisascopusbasedstudy AT humayunsyedhasham bibliometricanalysisofpublicationactivityinthefieldofgiantcellarteritisascopusbasedstudy AT ahmedsyedijlal bibliometricanalysisofpublicationactivityinthefieldofgiantcellarteritisascopusbasedstudy |