Bibliometric Analysis of Publication Hot Topics of Smartphones in the Field of Health and Medical Services

Zhiqiang Tian; Yanjun Wang; Jiao Lu; Li Song; Jianzhong Zheng

doi:doi:10.11648/j.sjph.20221003.15

| Peer-Reviewed

Bibliometric Analysis of Publication Hot Topics of Smartphones in the Field of Health and Medical Services

Zhiqiang Tian, Yanjun Wang, Jiao Lu, Li Song, Jianzhong Zheng

Published in Science Journal of Public Health (Volume 10, Issue 3)

Received: 31 May 2022 Published: 1 June 2022

Views: Downloads:

Download PDF

Share This Article

Twitter
Linked In
Facebook

Abstract

Smartphones have captured the attention of many health- and medical-services researchers. This study aimed to quantify research ‘hotspots’ in this field, analyse the relationship between research hotspots and the resulting knowledge groups, and provide visual representations of the findings. Using bibliometric analysis software tools for keyword frequency analysis, research hotspots were identified using keywords from PubMed entries from a 14-year period. The analyses of hotspots were performed using keyword co-occurrence analysis, social network analysis, principal component analysis, multidimensional scaling analysis, and network visualization technology. The results confirmed that the number of articles have been increasing each year. The topics of mobile applications, telemedicine, self-care, Diabetes Mellitus, treatment outcomes, health promotion, and patient satisfaction associated with smartphones were highlighted. The 35 high-frequency keywords that were extracted constituted five principal components of research related to information technology and telemedicine, diabetes, t-health promotion, and smartphones/handheld computers. Figures of knowledge network maps and perceptual maps show the relationship between the high-frequency keywords. Research hotspots for smartphone-related information technology, telemedicine, and health promotion have broad prospects for development. This study provides directions for research hotspots and future research in the field of smartphone applications for health and medical services.

Published in	Science Journal of Public Health (Volume 10, Issue 3)
DOI	10.11648/j.sjph.20221003.15
Page(s)	134-141
Creative Commons	This is an Open Access article, distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution and reproduction in any medium or format, provided the original work is properly cited.
Copyright	Copyright © The Author(s), 2022. Published by Science Publishing Group

Keywords

Smartphone, Health Services, Medical Services, Telemedicine, Information Technology, Bibliometric Analysis

References

[1]	Okazaki S, Castañeda JA, Sanz S. Clinicians' assessment of mobile monitoring: a comparative study in Japan and Spain. Med 2 0, 2013; 2: e11.
[2]	Takao H, Murayama Y, Ishibashi T, et al. A new support system using a mobile device (smartphone) for diagnostic image display and treatment of stroke. Stroke, 2012; 43: 236-239.
[3]	Pimmer C, Mateescu M, Zahn C, et al. Smartphones as multimodal communication devices to facilitate clinical knowledge processes: randomized controlled trial. J Med Internet Res, 2013; 15: e263.
[4]	De La Cruz Monroy MFI, Mosahebi A. The Use of Smartphone Applications (Apps) for Enhancing Communication With Surgical Patients: A Systematic Review of the Literature. Surg Innov, 2019; 26: 244-259.
[5]	Datillo JR, Gittings DJ, Sloan M, et al. "Is There An App For That?" Orthopaedic Patient Preferences For A Smartphone Application. Appl Clin Inform, 2017; 8: 832-844.
[6]	Segura-Sampedro JJ, Rivero-Belenchón I, Pino-Díaz V, et al. Feasibility and safety of surgical wound remote follow-up by smart phone in appendectomy: A pilot study. Ann Med Surg (Lond), 2017; 21: 58-62.
[7]	Ali EE, Chan SSL, Poh HY, et al. Design Considerations in the Development of App-Based Oral Anticancer Medication Management Systems: a Qualitative Evaluation of Pharmacists' and Patients' Perspectives. J Med Syst, 2019; 43: 63.
[8]	Garabedian LF, Ross-Degnan D, Wharam JF. Mobile Phone and Smartphone Technologies for Diabetes Care and Self-Management. Curr Diab Rep, 2015; 15: 109.
[9]	El-Gayar O, Timsina P, Nawar N, et al. Mobile applications for diabetes self-management: status and potential. J Diabetes Sci Technol, 2013; 7: 247-262.
[10]	Martínez-Pérez B, de la Torre-Díez I, López-Coronado M. Mobile health applications for the most prevalent conditions by the World Health Organization: review and analysis. J Med Internet Res, 2013; 15: e120.
[11]	Ahmed I, Ahmad NS, Ali S, et al. Medication Adherence Apps: Review and Content Analysis. JMIR Mhealth Uhealth, 2018; 6: e62.
[12]	Mosa AS, Yoo I, Sheets L. A systematic review of healthcare applications for smartphones. BMC Med Inform Decis Mak, 2012; 12: 67.
[13]	BinDhim NF, Hawkey A, Trevena L. A systematic review of quality assessment methods for smartphone health apps. Telemed J E Health, 2015; 21: 97-104.
[14]	Molina Recio G, García-Hernández L, Molina Luque R, et al. The role of interdisciplinary research team in the impact of health apps in health and computer science publications: a systematic review. Biomed Eng Online, 2016; 15 Suppl 1: 77.
[15]	Shen L, Xiong B, Li W, et al. Visualizing Collaboration Characteristics and Topic Burst on International Mobile Health Research: Bibliometric Analysis. JMIR Mhealth Uhealth, 2018; 6: e135.
[16]	Sweileh WM, Al-Jabi SW, AbuTaha AS, et al. Bibliometric analysis of worldwide scientific literature in mobile - health: 2006-2016. BMC Med Inform Decis Mak, 2017; 17: 72.
[17]	Müller AM, Maher CA, Vandelanotte C, et al. Physical Activity, Sedentary Behavior, and Diet-Related eHealth and mHealth Research: Bibliometric Analysis. J Med Internet Res, 2018; 20: e122.
[18]	Deng H, Wang J, Liu X, et al. Evaluating the outcomes of medical informatics development as a discipline in China: A publication perspective. Comput Methods Programs Biomed, 2018; 164: 75-85.
[19]	Borgatti SP, Everett MG, Freeman LC. Ucinet for Windows: Software for social network analysis. MA: Analytic Technologies, Harvard. Available: http://www.analytictech.com/via the INTERNET. Accessed 2014 Janurary 10.
[20]	Persson OR, Danell J, Wiborg S. How to use Bibexcel for various types of bibliometric analysis. In: Celebrating scholarly communication studies: A Festschrift for OllePersson at his 60th Birthday, ed. Belgium: International Society for Scientometrics and Informetrics. 2009.
[21]	Wang Y, Zheng J, Zhang A, et al. Visualization maps for the evolution of research hotspots in the field of regional health information networks. Inform Health Soc Care, 2018; 43: 186-206.
[22]	Wang Y, Zhao Y, Zheng J, et al. The evolution of publication hotspots in the field of telemedicine from 1962 to 2015 and differences among six countries. J Telemed Telecare, 2018; 24: 238-253.

Cite This Article

Plain Text BibTeX RIS

APA Style

Zhiqiang Tian, Yanjun Wang, Jiao Lu, Li Song, Jianzhong Zheng. (2022). Bibliometric Analysis of Publication Hot Topics of Smartphones in the Field of Health and Medical Services. Science Journal of Public Health, 10(3), 134-141. https://doi.org/10.11648/j.sjph.20221003.15

Copy | Download

ACS Style

Zhiqiang Tian; Yanjun Wang; Jiao Lu; Li Song; Jianzhong Zheng. Bibliometric Analysis of Publication Hot Topics of Smartphones in the Field of Health and Medical Services. Sci. J. Public Health 2022, 10(3), 134-141. doi: 10.11648/j.sjph.20221003.15

Copy | Download

AMA Style

Zhiqiang Tian, Yanjun Wang, Jiao Lu, Li Song, Jianzhong Zheng. Bibliometric Analysis of Publication Hot Topics of Smartphones in the Field of Health and Medical Services. Sci J Public Health. 2022;10(3):134-141. doi: 10.11648/j.sjph.20221003.15

Copy | Download

@article{10.11648/j.sjph.20221003.15,
  author = {Zhiqiang Tian and Yanjun Wang and Jiao Lu and Li Song and Jianzhong Zheng},
  title = {Bibliometric Analysis of Publication Hot Topics of Smartphones in the Field of Health and Medical Services},
  journal = {Science Journal of Public Health},
  volume = {10},
  number = {3},
  pages = {134-141},
  doi = {10.11648/j.sjph.20221003.15},
  url = {https://doi.org/10.11648/j.sjph.20221003.15},
  eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.sjph.20221003.15},
  abstract = {Smartphones have captured the attention of many health- and medical-services researchers. This study aimed to quantify research ‘hotspots’ in this field, analyse the relationship between research hotspots and the resulting knowledge groups, and provide visual representations of the findings. Using bibliometric analysis software tools for keyword frequency analysis, research hotspots were identified using keywords from PubMed entries from a 14-year period. The analyses of hotspots were performed using keyword co-occurrence analysis, social network analysis, principal component analysis, multidimensional scaling analysis, and network visualization technology. The results confirmed that the number of articles have been increasing each year. The topics of mobile applications, telemedicine, self-care, Diabetes Mellitus, treatment outcomes, health promotion, and patient satisfaction associated with smartphones were highlighted. The 35 high-frequency keywords that were extracted constituted five principal components of research related to information technology and telemedicine, diabetes, t-health promotion, and smartphones/handheld computers. Figures of knowledge network maps and perceptual maps show the relationship between the high-frequency keywords. Research hotspots for smartphone-related information technology, telemedicine, and health promotion have broad prospects for development. This study provides directions for research hotspots and future research in the field of smartphone applications for health and medical services.},
 year = {2022}
}

Copy | Download

TY  - JOUR
T1  - Bibliometric Analysis of Publication Hot Topics of Smartphones in the Field of Health and Medical Services
AU  - Zhiqiang Tian
AU  - Yanjun Wang
AU  - Jiao Lu
AU  - Li Song
AU  - Jianzhong Zheng
Y1  - 2022/06/01
PY  - 2022
N1  - https://doi.org/10.11648/j.sjph.20221003.15
DO  - 10.11648/j.sjph.20221003.15
T2  - Science Journal of Public Health
JF  - Science Journal of Public Health
JO  - Science Journal of Public Health
SP  - 134
EP  - 141
PB  - Science Publishing Group
SN  - 2328-7950
UR  - https://doi.org/10.11648/j.sjph.20221003.15
AB  - Smartphones have captured the attention of many health- and medical-services researchers. This study aimed to quantify research ‘hotspots’ in this field, analyse the relationship between research hotspots and the resulting knowledge groups, and provide visual representations of the findings. Using bibliometric analysis software tools for keyword frequency analysis, research hotspots were identified using keywords from PubMed entries from a 14-year period. The analyses of hotspots were performed using keyword co-occurrence analysis, social network analysis, principal component analysis, multidimensional scaling analysis, and network visualization technology. The results confirmed that the number of articles have been increasing each year. The topics of mobile applications, telemedicine, self-care, Diabetes Mellitus, treatment outcomes, health promotion, and patient satisfaction associated with smartphones were highlighted. The 35 high-frequency keywords that were extracted constituted five principal components of research related to information technology and telemedicine, diabetes, t-health promotion, and smartphones/handheld computers. Figures of knowledge network maps and perceptual maps show the relationship between the high-frequency keywords. Research hotspots for smartphone-related information technology, telemedicine, and health promotion have broad prospects for development. This study provides directions for research hotspots and future research in the field of smartphone applications for health and medical services.
VL  - 10
IS  - 3
ER  -

Copy | Download

Author Information

Zhiqiang Tian

Shanxi Bethune Hospital, Shanxi Academy of Medical Sciences, Tongji Shanxi Hospital, Third Hospital of Shanxi Medical University, Taiyuan, China
Yanjun Wang

Comprehensive Service Center of Shanxi Medical and Health Institutions, Taiyuan, China
Jiao Lu

School of Management, Shanxi Medical University, Taiyuan, China
Li Song

School of Public Health, Shanxi Medical University, Taiyuan, China
Jianzhong Zheng

School of Public Health, Shanxi Medical University, Taiyuan, China

Download PDF

Sections

Plain Text BibTeX RIS

APA Style

Zhiqiang Tian, Yanjun Wang, Jiao Lu, Li Song, Jianzhong Zheng. (2022). Bibliometric Analysis of Publication Hot Topics of Smartphones in the Field of Health and Medical Services. Science Journal of Public Health, 10(3), 134-141. https://doi.org/10.11648/j.sjph.20221003.15

Copy | Download

ACS Style

Zhiqiang Tian; Yanjun Wang; Jiao Lu; Li Song; Jianzhong Zheng. Bibliometric Analysis of Publication Hot Topics of Smartphones in the Field of Health and Medical Services. Sci. J. Public Health 2022, 10(3), 134-141. doi: 10.11648/j.sjph.20221003.15

Copy | Download

AMA Style

Zhiqiang Tian, Yanjun Wang, Jiao Lu, Li Song, Jianzhong Zheng. Bibliometric Analysis of Publication Hot Topics of Smartphones in the Field of Health and Medical Services. Sci J Public Health. 2022;10(3):134-141. doi: 10.11648/j.sjph.20221003.15

Copy | Download

@article{10.11648/j.sjph.20221003.15,
  author = {Zhiqiang Tian and Yanjun Wang and Jiao Lu and Li Song and Jianzhong Zheng},
  title = {Bibliometric Analysis of Publication Hot Topics of Smartphones in the Field of Health and Medical Services},
  journal = {Science Journal of Public Health},
  volume = {10},
  number = {3},
  pages = {134-141},
  doi = {10.11648/j.sjph.20221003.15},
  url = {https://doi.org/10.11648/j.sjph.20221003.15},
  eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.sjph.20221003.15},
  abstract = {Smartphones have captured the attention of many health- and medical-services researchers. This study aimed to quantify research ‘hotspots’ in this field, analyse the relationship between research hotspots and the resulting knowledge groups, and provide visual representations of the findings. Using bibliometric analysis software tools for keyword frequency analysis, research hotspots were identified using keywords from PubMed entries from a 14-year period. The analyses of hotspots were performed using keyword co-occurrence analysis, social network analysis, principal component analysis, multidimensional scaling analysis, and network visualization technology. The results confirmed that the number of articles have been increasing each year. The topics of mobile applications, telemedicine, self-care, Diabetes Mellitus, treatment outcomes, health promotion, and patient satisfaction associated with smartphones were highlighted. The 35 high-frequency keywords that were extracted constituted five principal components of research related to information technology and telemedicine, diabetes, t-health promotion, and smartphones/handheld computers. Figures of knowledge network maps and perceptual maps show the relationship between the high-frequency keywords. Research hotspots for smartphone-related information technology, telemedicine, and health promotion have broad prospects for development. This study provides directions for research hotspots and future research in the field of smartphone applications for health and medical services.},
 year = {2022}
}

Copy | Download

TY  - JOUR
T1  - Bibliometric Analysis of Publication Hot Topics of Smartphones in the Field of Health and Medical Services
AU  - Zhiqiang Tian
AU  - Yanjun Wang
AU  - Jiao Lu
AU  - Li Song
AU  - Jianzhong Zheng
Y1  - 2022/06/01
PY  - 2022
N1  - https://doi.org/10.11648/j.sjph.20221003.15
DO  - 10.11648/j.sjph.20221003.15
T2  - Science Journal of Public Health
JF  - Science Journal of Public Health
JO  - Science Journal of Public Health
SP  - 134
EP  - 141
PB  - Science Publishing Group
SN  - 2328-7950
UR  - https://doi.org/10.11648/j.sjph.20221003.15
AB  - Smartphones have captured the attention of many health- and medical-services researchers. This study aimed to quantify research ‘hotspots’ in this field, analyse the relationship between research hotspots and the resulting knowledge groups, and provide visual representations of the findings. Using bibliometric analysis software tools for keyword frequency analysis, research hotspots were identified using keywords from PubMed entries from a 14-year period. The analyses of hotspots were performed using keyword co-occurrence analysis, social network analysis, principal component analysis, multidimensional scaling analysis, and network visualization technology. The results confirmed that the number of articles have been increasing each year. The topics of mobile applications, telemedicine, self-care, Diabetes Mellitus, treatment outcomes, health promotion, and patient satisfaction associated with smartphones were highlighted. The 35 high-frequency keywords that were extracted constituted five principal components of research related to information technology and telemedicine, diabetes, t-health promotion, and smartphones/handheld computers. Figures of knowledge network maps and perceptual maps show the relationship between the high-frequency keywords. Research hotspots for smartphone-related information technology, telemedicine, and health promotion have broad prospects for development. This study provides directions for research hotspots and future research in the field of smartphone applications for health and medical services.
VL  - 10
IS  - 3
ER  -

Copy | Download