Scientometric Analysis of Global Publication Output in Mobile Technology

Kumar, R. Santha; Kaliyaperumal, Karthikeyan

doi:10.14429/djlit.35.4.7884

Cited by 9 publications

(8 citation statements)

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“…Despite all these limitations, our study was the first to analyze bibliometric indicators of m-Health literature. Previously published bibliometric studies in the field of mobile technology [34] endorsed the findings of our study regarding growth and authorship pattern.…”

Section: Discussionsupporting

confidence: 85%

“…The RGR was calculated based on the following equation: RGR = [log e W 2 - log e W 1 ]/(T2 - T1) [19, 34, 35] where log e W 1 : log of initial number of articles; log e W 2 : log of final number of articles after a specific period of interval; and T2-T1: the unit difference between the initial time and the final time. The RGR can be presented in a different format called doubling time (DT), defined as the period of time required for the number of publications to double in number in 1 year and was calculated based on the following equation: DT = 0.693/RGR [19, 34, 35]. Finally, the citation analysis was presented as total citations, mean and median (Q1 – Q3) citations.…”

Section: Methodsmentioning

confidence: 99%

“…Analysis in Microsoft Excel included number of single-authored articles and number of multi-authored (joint) articles. Analysis of overall collaboration in the field of m-Health was calculated using the following equation: Degree of collaboration = C = N m /N m + N s [19, 34, 35] where N m = number of multi-authored papers and N s = number of single-authored papers. The collaboration index (CI) was calculated based on the number of multi-authored (joint) papers and the number of authors of these multi-authored (joint) papers.…”

Section: Methodsmentioning

confidence: 99%

“…The collaboration index (CI) was calculated based on the number of multi-authored (joint) papers and the number of authors of these multi-authored (joint) papers. The equation used to calculate the collaboration index was as follows: CI = number of authors in joint articles/number of joint papers [19, 34, 35]. Authorship analysis included analysis of average number of authors per paper which was calculated as: (AAPP) = total number of authors/total number of papers.…”

Section: Methodsmentioning

confidence: 99%

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Bibliometric analysis of worldwide scientific literature in mobile - health: 2006–2016

Sweileh

Al-Jabi

AbuTaha

et al. 2017

BMC Med Inform Decis Mak

241

178

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BackgroundThe advancement of mobile technology had positively influenced healthcare services. An emerging subfield of mobile technology is mobile health (m-Health) in which mobile applications are used for health purposes. The aim of this study was to analyze and assess literature published in the field of m-Health.MethodsSciVerse Scopus was used to retrieve literature in m-Health. The study period was set from 2006 to 2016. ArcGIS 10.1 was used to present geographical distribution of publications while VOSviewer was used for data visualization. Growth of publications, citation analysis, and research productivity were presented using standard bibliometric indicators.ResultsDuring the study period, a total of 5465 documents were published, giving an average of 496.8 documents per year. The h-index of retrieved documents was 81. Core keywords used in literature pertaining to m-Health included diabetes mellitus, adherence, and obesity among others. Relative growth rate and doubling time of retrieved literature were stable from 2009 to 2015 indicating exponential growth of literature in this field. A total of 4638 (84.9%) documents were multi-authored with a mean collaboration index of 4.1 authors per article. The United States of America ranked first in productivity with 1926 (35.2%) published documents. India ranked sixth with 183 (3.3%) documents while China ranked seventh with 155(2.8%) documents. VA Medical Center was the most prolific organization/institution while Journal of Medical Internet Research was the preferred journal for publications in the field of m-Health. Top cited articles in the field of m-Health included the use of mobile technology in improving adherence in HIV patients, weight loss, and improving glycemic control in diabetic patients.ConclusionThe size of literature in m-Health showed a noticeable increase in the past decade. Given the large volume of citations received in this field, it is expected that applications of m-Health will be seen into various health aspects and health services. Research in m-Health needs to be encouraged, particularly in the fight against AIDS, poor medication adherence, glycemic control in Africa and other low income world regions where technology can improve health services and decrease disease burden.Electronic supplementary materialThe online version of this article (doi:10.1186/s12911-017-0476-7) contains supplementary material, which is available to authorized users.

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Section: Discussionsupporting

confidence: 85%

Section: Methodsmentioning

confidence: 99%

Section: Methodsmentioning

confidence: 99%

Section: Methodsmentioning

confidence: 99%

See 2 more Smart Citations

Bibliometric analysis of worldwide scientific literature in mobile - health: 2006–2016

Sweileh

Al-Jabi

AbuTaha

et al. 2017

BMC Med Inform Decis Mak

241

178

View full text Add to dashboard Cite

show abstract

“…AGR was defined as the percentage change in the number of publications per year and is calculated with the following formula: AGR = [(N 2 – N 1 ) / N 1 ] * 100 , where N is the annual number of publications. RGR was defined as the growth rate of the cumulative number of publications per unit of time and was calculated with the following formula [ 13 , 34 ]: RGR = [(lnTN 2 – lnTN 1 ) / (T 2 – T 1 )] * 100 , where T is the year and TN is the cumulative number of publications. DT was defined as the number of times the number of publications double in 1 year and was calculated with the following formula [ 13 , 34 ]: DT = 0.693/RGR .…”

Section: Methodsmentioning

confidence: 99%

Exploring the Shift in International Trends in Mobile Health Research From 2000 to 2020: Bibliometric Analysis

Cao¹,

Lim²,

Sengoku³

et al. 2021

JMIR Mhealth Uhealth

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Background Smartphones have become an integral part of our lives with unprecedented popularity and a diverse selection of apps. The continuous upgrading of information technology has also enabled smartphones to display great potential in the field of health care. Objective We aimed to determine the future research direction of mobile health (mHealth) by analyzing its research trends and latest research hotspots. Methods This study collected mHealth-related literature published between 2000 and 2020 from the Web of Science database. Descriptive statistics of publication trends of mHealth research were determined by analyzing the annual number of publications in the literature and annual number of publications by country. We constructed visualization network maps of country (or regional) collaborations and author-provided keyword co-occurrences, as well as overlay visualization maps of the average publication year of author-provided keywords to analyze the hotspots and research trends in mHealth research. Results In total, 12,593 mHealth-related research papers published between 2000 and 2020 were found. The results showed an exponential growth trend in the number of annual publications in mHealth literature. JMIR mHealth and uHealth, the Journal of Medical Internet Research, and JMIR Research Protocols were the 3 top journals with respect to number of publications. The United States remained the leading contributor to the literature in this area (5294/12,593, 42.0%), well ahead of other countries and regions. Other countries and regions also showed a clear trend of annual increases in the number of mHealth publications. The 4 countries with the largest number of publications—the United States, the United Kingdom, Canada, and Australia—were found to cooperate more closely. The rest of the countries and regions showed a clear geographic pattern of cooperation. The keyword co-occurrence analysis of the top 100 authors demonstrated 5 clusters, namely, development of mHealth medical technology and its application to various diseases, use of mHealth technology to improve basic public health and health policy, mHealth self-health testing and management in daily life, adolescent use of mHealth, and mHealth in mental health. The research trends revealed a gradual shift in mHealth research from health policy and improving public health care to the development and social application of mHealth technologies. Conclusions To the best of our knowledge, the most current bibliometric analysis dates back to 2016. However, the number of mHealth research published between 2017 and 2020 exceeds the previous total. The results of this study shed light on the latest hotspots and trends in mHealth research. These findings provide a useful overview of the development of the field; they may also serve as a valuable reference and provide guidance for researchers in the digital health field.

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Use of bibliometrics for research evaluation in emerging markets economies: a review and discussion of bibliometric indicators

2022

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Scientometric Analysis of Global Publication Output in Mobile Technology

Cited by 9 publications

References 0 publications

Bibliometric analysis of worldwide scientific literature in mobile - health: 2006–2016

Bibliometric analysis of worldwide scientific literature in mobile - health: 2006–2016

Exploring the Shift in International Trends in Mobile Health Research From 2000 to 2020: Bibliometric Analysis

Use of bibliometrics for research evaluation in emerging markets economies: a review and discussion of bibliometric indicators

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