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Statistical Analysis of Articles Published in China CDC Weekly — Worldwide, 2019–2020

Introduction: This study analyzed views and downloads of articles published in China CDC Weekly from 2019 to 2020 as part of an evaluation of the academic level and quality of the journal. Methods: The study included articles published between November 29, 2019 and December 25, 2020 and evaluated vi...

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Detalles Bibliográficos
Autores principales: Zhang, Zhenwei, Han, Kun, Shi, Wenhui
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Editorial Office of CCDCW, Chinese Center for Disease Control and Prevention 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8392907/
https://www.ncbi.nlm.nih.gov/pubmed/34594965
http://dx.doi.org/10.46234/ccdcw2021.169
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author Zhang, Zhenwei
Han, Kun
Shi, Wenhui
author_facet Zhang, Zhenwei
Han, Kun
Shi, Wenhui
author_sort Zhang, Zhenwei
collection PubMed
description Introduction: This study analyzed views and downloads of articles published in China CDC Weekly from 2019 to 2020 as part of an evaluation of the academic level and quality of the journal. Methods: The study included articles published between November 29, 2019 and December 25, 2020 and evaluated views and downloads through February 9, 2021 using standard bibliometrics. We conducted network analysis with VOSviewer software. Results: There were 283 articles from 101 institutions published in China CDC Weekly during the analysis period, among which 22 (21.8%) institutions were overseas institutions. There were 220 unique first authors, with 1.28 articles per first author. There were 2,404,882 views and 58,760 downloads in total. The article with the highest view and download counts had 1,244,826 views and 38,978 downloads. Article types with more than 4,500 views per article were Vital Surveillance, Notes from the Field, and Preplanned Studies. Subjects with more than 3,500 views per article were epidemiology of infectious diseases, epidemiology of non-infectious diseases, and maternal and child health. Articles with descriptive research and articles discussing public health monitoring received more attention, shown by larger average per article page views. Discussion: Study results can help the editorial department improve the journal’s international influence through targeted measures, such as adjusting article types according to view and download analyses and increasing the proportion of international manuscripts selected.
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spelling pubmed-83929072021-09-29 Statistical Analysis of Articles Published in China CDC Weekly — Worldwide, 2019–2020 Zhang, Zhenwei Han, Kun Shi, Wenhui China CDC Wkly Methods and Applications Introduction: This study analyzed views and downloads of articles published in China CDC Weekly from 2019 to 2020 as part of an evaluation of the academic level and quality of the journal. Methods: The study included articles published between November 29, 2019 and December 25, 2020 and evaluated views and downloads through February 9, 2021 using standard bibliometrics. We conducted network analysis with VOSviewer software. Results: There were 283 articles from 101 institutions published in China CDC Weekly during the analysis period, among which 22 (21.8%) institutions were overseas institutions. There were 220 unique first authors, with 1.28 articles per first author. There were 2,404,882 views and 58,760 downloads in total. The article with the highest view and download counts had 1,244,826 views and 38,978 downloads. Article types with more than 4,500 views per article were Vital Surveillance, Notes from the Field, and Preplanned Studies. Subjects with more than 3,500 views per article were epidemiology of infectious diseases, epidemiology of non-infectious diseases, and maternal and child health. Articles with descriptive research and articles discussing public health monitoring received more attention, shown by larger average per article page views. Discussion: Study results can help the editorial department improve the journal’s international influence through targeted measures, such as adjusting article types according to view and download analyses and increasing the proportion of international manuscripts selected. Editorial Office of CCDCW, Chinese Center for Disease Control and Prevention 2021-07-30 /pmc/articles/PMC8392907/ /pubmed/34594965 http://dx.doi.org/10.46234/ccdcw2021.169 Text en Copyright and License information: Editorial Office of CCDCW, Chinese Center for Disease Control and Prevention 2021 https://creativecommons.org/licenses/by-nc-sa/4.0/This work is licensed under a Creative Commons Attribution-NonCommercial-Share Alike 4.0 Unported License. To view a copy of this license, visit http://creativecommons.org/licenses/by-nc-sa/4.0/ (https://creativecommons.org/licenses/by-nc-sa/4.0/)
spellingShingle Methods and Applications
Zhang, Zhenwei
Han, Kun
Shi, Wenhui
Statistical Analysis of Articles Published in China CDC Weekly — Worldwide, 2019–2020
title Statistical Analysis of Articles Published in China CDC Weekly — Worldwide, 2019–2020
title_full Statistical Analysis of Articles Published in China CDC Weekly — Worldwide, 2019–2020
title_fullStr Statistical Analysis of Articles Published in China CDC Weekly — Worldwide, 2019–2020
title_full_unstemmed Statistical Analysis of Articles Published in China CDC Weekly — Worldwide, 2019–2020
title_short Statistical Analysis of Articles Published in China CDC Weekly — Worldwide, 2019–2020
title_sort statistical analysis of articles published in china cdc weekly — worldwide, 2019–2020
topic Methods and Applications
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8392907/
https://www.ncbi.nlm.nih.gov/pubmed/34594965
http://dx.doi.org/10.46234/ccdcw2021.169
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