Digital health and mobile health: a bibliometric analysis of the 100 most cited papers and their contributing authors

Aim: This study aimed to identify and analyze the top 100 most cited digital health and mobile health (m-health) publications. It could aid researchers in the identification of promising new research avenues, additionally supporting the establishment of international scientific collaboration between interdisciplinary research groups with demonstrated achievements in the area of interest. Methods: On 30th August, 2023, the Web of Science Core Collection (WOSCC) electronic database was queried to identify the top 100 most cited digital health papers with a comprehensive search string. From the initial search, 106 papers were identified. After screening for relevance, six papers were excluded, resulting in the final list of the top 100 papers. The basic bibliographic data was directly extracted from WOSCC using its “Analyze” and “Create Citation Report” functions. The complete records of the top 100 papers were downloaded and imported into a bibliometric software called VOSviewer (version 1.6.19) to generate an author keyword map and author collaboration map. Results: The top 100 papers on digital health received a total of 49,653 citations. Over half of them (n = 55) were published during 2013–2017. Among these 100 papers, 59 were original articles, 36 were reviews, 4 were editorial materials, and 1 was a proceeding paper. All papers were written in English. The University of London and the University of California system were the most represented affiliations. The USA and the UK were the most represented countries. The Journal of Medical Internet Research was the most represented journal. Several diseases and health conditions were identified as a focus of these works, including anxiety, depression, diabetes mellitus, cardiovascular diseases, and coronavirus disease 2019 (COVID-19). Conclusions: The findings underscore key areas of focus in the field and prominent contributors, providing a roadmap for future research in digital and m-health

Unsolicited academic invitation to young Indian authors and a way to limit it: A prospective cohort study

Background: E-mail addresses of the corresponding author can be accessed from open-access online articles. These addresses are commonly collected by journal promoters and used to send invitations to authors with attractive publication offer to allure young authors. Aim: The aim of this study was to ascertain the quantity and type of unsolicited academic invitations and to find the effect of an intervention on the reduction of quantity of invitations. Materials and Methods: A total of seven young authors had participated in the study. In preintervention phase, each Sunday, the authors counted their unsolicited e-mails and reported it for consecutive 6 months. A list of commonly used words/phrases in those e-mails was made. That list was used to make e-mail filters to divert unsolicited e-mails to a different label (SPAM STUDY). In postintervention phase, the participants reported the number of unsolicited e-mails received in different labels for consecutive 3 months. Results: The authors received average 5.27 ± 0.93 (2.04 ± 0.28 in inbox and 3.23 ± 0.89 in spam label) academic invitations per day in the preintervention phase. Majority of the e-mails (98.97%) requested for submission of the manuscript. Postintervention total unsolicited academic e-mails (5.43 ± 1.25) remain unchanged (P = 0.67); however, e-mails to inbox (0.08 ± 0.02/day) were significantly (P < 0.0001) decreased. Conclusion: Young authors receive lots of unsolicited academic invitations; most of them request to submit manuscript. These unsolicited e-mails can be diverted to a different e-mail label by creating e-mail filters. This would help authors to reduce the burden of unsolicited mails in inbox