Análisis bibliométrico de información en salud basado en PubMed disponible en las redes sociales: un estudio de La India



Palabras clave:

análisis bibliométrico, redes sociales, India, salud, comunicación en salud, Vosviewer, software de redes de investigación de perfiles


Las redes sociales se han utilizado durante mucho tiempo para difundir información y ayuda relacionadas con la salud, y este uso ha aumentado con la aparición de las redes sociales en línea. El objetivo de este estudio es realizar un análisis bibliométrico de la información sanitaria en el contexto de la India. La literatura disponible en PubMed es la fuente del estudio. El objetivo de este artículo es desarrollar una mejor comprensión de la literatura sobre la información de salud basada en las redes sociales utilizando el análisis bibliométrico en el contexto de la India. El software utilizado para el análisis bibliométrico es un software de redes de investigación de perfiles de la Universidad de Harvard y Vosviewer. Del estudio, queda claro que las redes sociales son importantes en el contexto de la salud pública. También descubrimos que aunque el número de publicaciones en revistas es mayor, se ha citado más contenido de video-audio. Aunque hay un aumento significativo de la publicación durante 2020, el número de investigadores sigue siendo muy reducido. Está claro que las redes sociales son de mayor importancia para las personas marginadas. Los proveedores de atención médica y los reguladores deben tomar precauciones para evitar posibles resultados negativos.


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Ahmadvand, A., Kavanagh, D., Clark, M., Drennan, J., & Nissen, L. (2019). Trends and visibility of "digital health" as a keyword in articles by JMIR publications in the new millennium: Bibliographic-bibliometric analysis. Journal of Medical Internet Research, 21(12), e10477. PMid:31855190 PMCid:PMC6940860

Aiello, A. E. (2017). Invited commentary: evolution of social networks, health, and the role of epidemiology. American Journal of Epidemiology, 185(11), 1089-1092. PMid:28535168

Ainin, S., Naqshbandi, M. M., Moghavvemi, S., & Jaafar, N. I. (2015). Facebook usage, socialization and academic performance. Computers & Education, 83, 64-73.

Alhuwail, D., & Abdulsalam, Y. (2019). Assessing electronic health literacy in the state of Kuwait: Survey of internet users from an Arab state. Journal of Medical Internet Research, 21(5), e11174. PMid:31127723 PMCid:PMC6555123

Anglade, C., Le Dorze, G., & Croteau, C. (2019). Service encounter interactions of people living with moderate-to-severe post-stroke aphasia in their community. Aphasiology, 33(9), 1061-1082.

Anwar, M. M., Liu, C., & Li, J. (2019). Discovering and tracking query oriented active online social groups in dynamic information network. World Wide Web, 22(4), 1819-1854.

Aparicio-Martinez, P., Perea-Moreno, A. J., Martinez-Jimenez, M. P., Redel-Macías, M. D., Vaquero-Abellan, M., & Pagliari, C. (2019). A bibliometric analysis of the health field regarding social networks and young people. International Journal of Environmental Research and Public Health, 16(20), 4024. PMid:31640168 PMCid:PMC6843989

Ardito, L., Scuotto, V., Del Giudice, M., & Petruzzelli, A. M. (2019). A bibliometric analysis of research on Big Data analytics for business and management. Management Decision.

Ballester-Arnal, R., Giménez-García, C., Gil-Llario, M. D., & Castro-Calvo, J. (2016). Cybersex in the "Net generation": Online sexual activities among Spanish adolescents. Computers in Human Behavior, 57, 261-266.

Barrios, C., Flores, E., Martínez, M. Á., & Ruiz-Martínez, M. (2019). Is there convergence in international research collaboration? An exploration at the country level in the basic and applied science fields. Scientometrics, 120(2), 631-659.

Barton, K. S., Wingerson, A., Barzilay, J. R., & Tabor, H. K. (2019). "Before Facebook and before social media… we did not know anybody else that had this": parent perspectives on internet and social media use during the pediatric clinical genetic testing process. Journal of Community Genetics, 10(3), 375-383. PMid:30569339 PMCid:PMC6591503

Błachnio, A., Przepiórka, A., & Pantic, I. (2015). Internet use, Facebook intrusion, and depression: Results of a cross-sectional study. European Psychiatry, 30(6), 681-684. PMid:25963476

Boman, M., & Kruse, E. (2017). Supporting global health goals with information and communications technology. Global Health Action, 10(sup3), 1321904. PMid:28838300 PMCid:PMC5645697

Boyd, D. M., & Ellison, N. B. (2007). Social network sites: Definition, history, and scholarship. Journal of Computer‐Mediated Communication, 13(1), 210-230.

Chao, C. C., Yang, J. M., & Jen, W. Y. (2007). Determining technology trends and forecasts of RFID by a historical review and bibliometric analysis from 1991 to 2005. Technovation, 27(5), 268-279.

Chiu, W. T., & Ho, Y. S. (2007). Bibliometric analysis of tsunami research. Scientometrics, 73(1), 3-17.

Chou, W. Y. S., Hunt, Y., Folkers, A., & Augustson, E. (2011). Cancer survivorship in the age of YouTube and social media: a narrative analysis. Journal of Medical Internet Research, 13(1), e7. PMid:21247864 PMCid:PMC3221357

Cobo, M. J., Martínez, M. Á., Gutiérrez-Salcedo, M., Fujita, H., & Herrera-Viedma, E. (2015). 25 years at knowledge-based systems: a bibliometric analysis. Knowledge-based systems, 80, 3-13.

Cohen, R., Newton-John, T., & Slater, A. (2018). 'Selfie'-objectification: The role of selfies in self-objectification and disordered eating in young women. Computers in Human Behavior, 79, 68-74.

Corley, C. D., Cook, D. J., Mikler, A. R., & Singh, K. P. (2010). Text and structural data mining of influenza mentions in web and social media. International Journal of Environmental Research and Public Health, 7(2), 596-615. PMid:20616993 PMCid:PMC2872292

Dokuka, S., Krekhovets, E., & Priymak, M. (2017, July). Health, grades and friendship: How socially constructed characteristics influence the social network structure. In International Conference on Analysis of Images, Social Networks and Texts, 381-391. Springer, Cham.

Du, H. S., Ke, X., Chu, S. K., & Chan, L. T. (2017). A bibliometric analysis of emergency management using information systems (2000-2016). Online Information Review.

Durieux, V., & Gevenois, P. A. (2010). Bibliometric indicators: quality measurements of scientific publication. Radiology, 255(2), 342-351. PMid:20413749

Elbanna, A., Bunker, D., Levine, L., & Sleigh, A. (2019). Emergency management in the changing world of social media: Framing the research agenda with the stakeholders through engaged scholarship. International Journal of Information Management, 47, 112-120.

Erfani, S. S., & Abedin, B. (2018). Impacts of the use of social network sites on users' psychological well‐being: A systematic review. Journal of the Association for Information Science and Technology, 69(7), 900-912.

Guo, Y. M., Huang, Z. L., Guo, J., Li, H., Guo, X. R., & Nkeli, M. J. (2019). Bibliometric analysis on smart cities research. Sustainability, 11(13), 3606.

Huang, Y. T., & Su, S. F. (2018). Motives for Instagram use and topics of interest among young adults. Future Internet, 10(8), 77.

Ilakkuvan, V., Johnson, A., Villanti, A. C., Evans, W. D., & Turner, M. (2019). Patterns of social media use and their relationship to health risks among young adults. Journal of Adolescent Health, 64(2), 158-164. PMid:30269907

Jha, A., & Pandey, J. R. (2017). An empirical note on health information digital divide: a study of Indian patients. International Journal of Asian Business and Information Management (IJABIM), 8(2), 15-34.

Kietzmann, J. H., Hermkens, K., McCarthy, I. P., & Silvestre, B. S. (2011). Social media? Get serious! Understanding the functional building blocks of social media. Business Horizons, 54(3), 241-251.

Lariscy, R. W., Reber, B. H., & Paek, H. J. (2010). Examination of media channels and types as health information sources for adolescents: comparisons for black/white, male/female, urban/rural. Journal of Broadcasting & Electronic Media, 54(1), 102-120.

Lee, J. Y., & Kim, S. (2016). A bibliometric analysis of research trends on disaster in Korea. Journal of the Korean Society for Information Management, 33(4), 103-124.

Liang, B. A., & Mackey, T. (2011). Direct-to-consumer advertising with interactive internet media: global regulation and public health issues. Jama, 305(8), 824-825. PMid:21343583

Madjido, M., Espressivo, A., Maula, A. W., Fuad, A., & Hasanbasri, M. (2019). Health information system research situation in Indonesia: A bibliometric analysis. Procedia Computer Science, 161, 781-787.

More, J. S., & Lingam, C. (2019). A SI model for social media influencer maximization. Applied Computing and Informatics, 15(2), 102-108.

Mukherjee, S. K., Kumar, J., Jha, A. K., & Rani, J. R. (2019). Role of social media promotion of prescription drugs on patient belief-system and behaviour. International Journal of e-Collaboration (IJeC), 15(2), 23-43.

Mukherjee, S. K., Pandey, V., Kumar, J., & Jha, A. (2021). A Study of user Profile and Their Attitudes about Social Media Promotion of Prescription Drugs in Eastern India. Linguistica Antverpiensia, 219-245.

Müller, A. M., Maher, C. A., Vandelanotte, C., Hingle, M., Middelweerd, A., Lopez, M. L., & Wark, P. A. (2018). Physical activity, sedentary behavior, and diet-related eHealth and mHealth research: bibliometric analysis. Journal of Medical Internet Research, 20(4), e8954. PMid:29669703 PMCid:PMC5932335

Pai, R. R., & Alathur, S. (2019). Predicting Mobile Health Technology Acceptance by the Indian Rural Community: A Qualitative Study. International Journal of Electronic Government Research (IJEGR), 15(4), 37-62.

Pai, R. R., & Alathur, S. (2020). Bibliometric Analysis and Methodological Review of Mobile Health Services and Applications in India. International Journal of Medical Informatics, 104330. PMid:33248334

Pai, R. R., & Alathur, S. (2021). Bibliometric analysis and methodological review of mobile health services and applications in India. International Journal of Medical Informatics, 145, 104330. PMid:33248334

Penni, J. (2017). The future of online social networks (OSN): A measurement analysis using social media tools and application. Telematics and Informatics, 34(5), 498-517.

Perianes-Rodriguez, A., Waltman, L., & Van Eck, N. J. (2016). Constructing bibliometric networks: A comparison between full and fractional counting. Journal of Informetrics, 10(4), 1178-1195.

Ridout, B., & Campbell, A. (2018). The use of social networking sites in mental health interventions for young people: systematic review. Journal of medical Internet research, 20(12), e12244. PMid:30563811 PMCid:PMC6315265

Romano, V., Shen, M., Pansanel, J., MacIntosh, A. J., & Sueur, C. (2018). Social transmission in networks: global efficiency peaks with intermediate levels of modularity. Behavioral Ecology and Sociobiology, 72(9), 1-10.

Selkie, E. M., Benson, M., & Moreno, M. (2011). Adolescents' views regarding uses of social networking websites and text messaging for adolescent sexual health education. American Journal of Health Education, 42(4), 205-212. PMid:22229150 PMCid:PMC3251629

Shen, J., Zhu, P., & Xu, M. (2018). Knowledge sharing of online health community based on cognitive neuroscience. NeuroQuantology, 16(5).

Shensa, A., Escobar-Viera, C. G., Sidani, J. E., Bowman, N. D., Marshal, M. P., & Primack, B. A. (2017). Problematic social media use and depressive symptoms among US young adults: A nationally-representative study. Social Science & Medicine, 182, 150-157. PMid:28446367 PMCid:PMC5476225

Small, H. (1973). Co‐citation in the scientific literature: A new measure of the relationship between two documents. Journal of the American Society for Information Science, 24(4), 265-269.

Statista (2020). Social media usage in India - statistics & facts. Retrieved December 7, 2020.

Sweileh, W. M. (2019). A bibliometric analysis of health-related literature on natural disasters from 1900 to 2017. Health Research Policy and Systems, 17(1), 1-11. PMid:30744641 PMCid:PMC6371570

Sweileh, W. M., Al-Jabi, S. W., AbuTaha, A. S., Sa'ed, H. Z., Anayah, F. M., & Sawalha, A. F. (2017). Bibliometric analysis of worldwide scientific literature in mobile-health: 2006-2016. BMC Medical Informatics and Decision Making, 17(1), 1-12. PMid:28558687 PMCid:PMC5450106

Tajeuna, E. G., Bouguessa, M., & Wang, S. (2018). Modeling and predicting community structure changes in time-evolving social networks. IEEE Transactions on Knowledge and Data Engineering, 31(6), 1166-1180.

Takahashi, Y., Uchida, C., Miyaki, K., Sakai, M., Shimbo, T., & Nakayama, T. (2009). Potential benefits and harms of a peer support social network service on the internet for people with depressive tendencies: qualitative content analysis and social network analysis. Journal of Medical Internet Research, 11(3), e29. PMid:19632979 PMCid:PMC2762850

Van de Belt, T. H., Engelen, L. J., Berben, S. A., Teerenstra, S., Samsom, M., & Schoonhoven, L. (2013). Internet and social media for health-related information and communication in health care: preferences of the Dutch general population. Journal of Medical Internet Research, 15(10), e220. PMid:24088272 PMCid:PMC3806385

Van Eck, N. J., & Waltman, L. (2013). VOSviewer manual. Leiden: Univeristeit Leiden, 1(1), 1-53.

Vijayakumar, P., Pandiaraja, P., Karuppiah, M., & Deborah, L. J. (2017). An efficient secure communication for healthcare system using wearable devices. Computers & Electrical Engineering, 63, 232-245.

Villanti, A. C., Johnson, A. L., Ilakkuvan, V., Jacobs, M. A., Graham, A. L., & Rath, J. M. (2017). Social media use and access to digital technology in US young adults in 2016. Journal of Medical Internet Research, 19(6), e7303. PMid:28592394 PMCid:PMC5480010

Volpp, K. G., & Mohta, N. S. (2018). Patient engagement survey: Social networks to improve patient health. NEJM Catalyst, 4(1).

Wang, W. T., & Liu, C. Y. (2005). The application of the technology acceptance model: A new way to evaluate information system success. In Proceedings of the 23rd International System Dynamics Conference, 1-23. Boston, Massachusetts, USA: Massachusetts Institute of Technology.

Weber, G. M., Barnett, W., Conlon, M., Eichmann, D., Kibbe, W., Falk-Krzesinski, H., ... & Direct2Experts Collaboration. (2011). Direct2Experts: a pilot national network to demonstrate interoperability among research-networking platforms. Journal of the American Medical Informatics Association, 18(Supplement_1), i157-i160. PMid:22037890 PMCid:PMC3241163

Widmer, R. J., Collins, N. M., Collins, C. S., West, C. P., Lerman, L. O., & Lerman, A. (2015). Digital health interventions for the prevention of cardiovascular disease: a systematic review and meta-analysis. In Mayo Clinic Proceedings, 90(4), 469-480). Elsevier. PMid:25841251 PMCid:PMC4551455

Xu, S., Zhang, X., Feng, L., & Yang, W. (2020). Disruption risks in supply chain management: a literature review based on bibliometric analysis. International Journal of Production Research, 58(11), 3508-3526.

Young, S. D., & Rice, E. (2011). Online social networking technologies, HIV knowledge, and sexual risk and testing behaviors among homeless youth. AIDS and Behavior, 15(2), 253-260. PMid:20848305 PMCid:PMC3029467

Zhao, Y., Cheng, S., Yu, X., & Xu, H. (2020). Chinese public's attention to the COVID-19 epidemic on social media: observational descriptive study. Journal of Medical Internet Research, 22(5), e18825. PMid:32314976 PMCid:PMC7199804

Zyoud, S. E. H., Sweileh, W. M., Awang, R., & Al-Jabi, S. W. (2018). Global trends in research related to social media in psychology: mapping and bibliometric analysis. International Journal of Mental Health Systems, 12(1), 1-8. PMid:29387147 PMCid:PMC5775539



Cómo citar

Kumar Mukherjee, S. ., Kumar, J. ., & Jha, A. . (2022). Análisis bibliométrico de información en salud basado en PubMed disponible en las redes sociales: un estudio de La India. Revista Española De Documentación Científica, 45(4), e343.