Accepted for/Published in: JMIR mHealth and uHealth
Date Submitted: Jul 11, 2018
Open Peer Review Period: Jul 15, 2018 - Sep 9, 2018
Date Accepted: Jan 26, 2020
(closed for review but you can still tweet)
The most-cited authors who published papers in JMIR mHealth and uHealth using authorship-weighted scheme: A Bibliometric Analysis
ABSTRACT
Background:
Many papers investigated most-cited articles or most productive authors in academics. Few were seen on studying most-cited authors. Two challenges are faced by (1)some different authors with the same name in bibliometric data, and (2)coauthors’ contributions different in the article byline. No study has dealt with the matter of duplicate names in bibliometric data. Although betweenness centrality (BC) is one of the most popular degrees of density in social network analysis (SNA), few have applied the BC algorithm to interpret a network’s characteristics. A quantitative scheme is required to use for calculating weighted author credits and then applying the metrics in comparison.
Objective:
This study aimed to apply the BC algorithm to examine possible identical names in a network and report the most-cited authors for a journal related to international mobile health research.
Methods:
We obtained 676 abstracts from Medline based on the keywords of “JMIR mHealth and uHealth” (Journal) on June 30, 2018. The author names, countries/areas, and author-defined keywords were recorded. The BCs were calculated for the following: (1) the most-cited authors displayed on Google Maps, (2) the countries/areas distributed for the first author in geography, and (3) the keywords dispersed by BC and related to article topics in comparison on citation indices. Pajek software was performed to yield the BC for each entity (or say node). Bibliometric indices including h, g, x indexes, the mean of core articles on g(Ag), and author impact factor(AIF) were applied.
Results:
We found that (1) the most-cited author is Sherif M Badawy(from the US) who published six articles on JMIR mHealth and uHealth with high bibliometric indices (h=3, AIF=8.47, x=4.68, Ag=5.26); (2) two countries with the highest BC were the US and the UK; (3) two keyword clusters of mhealth and telemedicine earn the highest indices in comparison to other counterparts. All visual representations were successfully displayed on Google Maps.
Conclusions:
The most cited authors have been selected using the authorship-weighted scheme(AWS). The keywords of mhealth and telemedicine are potentially highly cited more than other types of article. The results on Google Maps are novel and unique as knowledge concept maps for understanding the feature of a journal. The research approaches used in this study (i.e. BC and AWS) can be applied to other bibliometric analyses in the future. Clinical Trial: Not available
Citation
Per the author's request the PDF is not available.
Copyright
© The authors. All rights reserved. This is a privileged document currently under peer-review/community review (or an accepted/rejected manuscript). Authors have provided JMIR Publications with an exclusive license to publish this preprint on it's website for review and ahead-of-print citation purposes only. While the final peer-reviewed paper may be licensed under a cc-by license on publication, at this stage authors and publisher expressively prohibit redistribution of this draft paper other than for review purposes.