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Teletıp ve Telebakım Dergisi’nin Bibliyometrik Analizi: 2007-2022

Year 2023, Volume: 14 Issue: 54, 162 - 182, 01.09.2023
https://doi.org/10.5824/ajite.2023.03.001.x

Abstract

Teletıp ve Telebakım Dergisi (JTT), teletıp dünyasının önde gelen dergilerindenbiridir ve bu alandaki araştırmalar üzerinde güçlü bir etkiye sahiptir. Bu çalışma, derginin yıllar içindeki değişimini anlamayı ve teletıp alanında ortaya çıkan konular hakkında bir özet sunmayı amaçlamaktadır. Analizde bibliyometrik yöntem kullanılmıştır. JTT, Ağustos 2022'ye kadar 1489 makale, 68 inceleme, 30 mektup, 17 editör yazısı, 6 düzeltme yazısı ve 5 not yayınlamıştır. Yayınlar açısından en önemli yıl 2021 (176) olmasına rağmen atıf yapılan yayın sayısı açısından 2007 (2948) yılı olmuştur. Ayrıca Smith ve arkadaşlarının (2020) araştırması JTT'de en çok alıntı yapılan makaledir (727). Amerika (ABD), toplam yayın (495) ve toplam atıf (9625) kategorilerinde başı çeken ülkedir. Avustralya ve Birleşik Krallık sırasıyla ikinci ve üçüncü sırada yer almaktadır. İlk 10'da çoğunlukla Avrupa ülkeleri yer almaktadır. Ayrıca JTT, Avrupa, Amerika ve Avustralya'daki yazarlardan da büyük ilgi görmüştür. Teletıp gelişen bir alandır ve çalışma, bu alandaki dergilerin sayılarını takip etme ve teletıptaki gelişmeleri inceleme fırsatı sağlamıştır. Bununla birlikte bu çalışma, JTT sürecini inceleyerek bir teletıp çerçevesi sunmaktadır.

References

  • Askari, A., Khodaie, M. & Bahaadinbeigy, K. (2014).  The 60 most highly cited articles published in the Journal of Telemedicine and Telecare and Telemedicine Journal and E-health. Journal of telemedicine and telecare, 20 (1), 35–43. https://doi.org/10.1177/1357633X13519899
  • Barlow, J., Singh, D., Bayer, S., et al. (2007). A systematic review of the benefits of home telecare for frail elderly people and those with long-term conditions. Journal of telemedicine and telecare, 13 (4), 172–179. https://doi.org/10.1258/135763307780908058
  • Bazm, S., Kalantar, S.M. &  Mirzaei, M. (2016). Bibliometric mapping and clustering analysis of Iranian papers on reproductive medicine in Scopus database (2010-2014). International journal of reproductive biomedicine, 14 (6), 371–382.
  • Broens, T.H.F., Huis in’t Veld, R.M.H.A., Vollenbroek-Hutten, M.M.R., et al. (2007). Determinants of successful telemedicine implementations: A literature study. Journal of Telemedicine and Telecare, 13 (6), 303-309. https://doi.org/10.1258/135763307781644951
  • Botsis, T. & Hartvigsen, G. (2008). Current status and future perspectives in telecare for elderly people suffering from chronic diseases. Journal of telemedicine and telecare, 14 (4), 195–203. https://doi.org/10.1258/jtt.2008.070905
  • Chi, N.C. & Demiris, G. (2015). A systematic review of telehealth tools and interventions to support family caregivers. Journal of telemedicine and telecare, 21 (1), 37–44. https://doi.org/10.1177/1357633X14562734
  • Cho, J.H., Lee, H.C., Lim, D.J., et al. (2009). Mobile communication using a mobile phone with a glucometer for glucose control in Type 2 patients with diabetes: As effective as an Internet-based glucose monitoring system. Journal of telemedicine and telecare, 15 (2), 77–82. https://doi.org/10.1258/jtt.2008.080412
  • Cozzens, S.E. (1989). What do citations count? The rhetoric-first model. Scientometrics, 15, 437–447. https://doi.org/10.1007/BF02017064
  • Déglise, C., Suggs, L.S. & Odermatt, P. (2012). SMS for disease control in developing countries: A systematic review of mobile health applications. Journal of telemedicine and telecare,  18 (5), 273–281. https://doi.org/10.1258/jtt.2012.110810
  • Dellifraine, J.L. & Dansky, K.H. (2008). Home-based telehealth: A review and meta-analysis. Journal of telemedicine and telecare, 14 (2), 62–66. https://doi.org/10.1258/jtt.2007.070709
  • Donthu, N., Kumar, S., Mukherjee, D., et al. (2021). How to conduct a bibliometric analysis: An overview and guidelines. Journal of Business Research, 133, 285-296. https://doi.org/10.1016/j.jbusres.2021.04.070
  • Frueh, B.C., Monnier, J., Yim, E., et al. (2007). A randomized trial of telepsychiatry for post-traumatic stress disorder. Journal of telemedicine and telecare, 13 (3), 142–147. https://doi.org/10.1258/135763307780677604
  • Gaviria-Marin, M., Merigó, J.M. & Baier-Fuentes, H. (2019). Knowledge management: A global examination based on bibliometric analysis. Technological Forecasting and Social Change,140, 194-220. https://doi.org/10.1016/j.techfore.2018.07.006
  • Guo, Y., Hao, Z., Zhao, S., et al. (2020). Artificial intelligence in health care: Bibliometric analysis. J Med Internet Res,  22 (7), e18228. doi:10.2196/18228
  • Gutiérrez-Salcedo, M., Martínez, M.Á., Moral-Munoz, J.A. et al. (2018). Some bibliometric procedures for analyzing and evaluating research fields.  Appl Intell, 48, 1275–1287. https://doi.org/10.1007/s10489-017-1105-y
  • Hasvold, P.E. & Wootton, R. (2011). Use of telephone and SMS reminders to improve attendance at hospital appointments: A systematic review. Journal of telemedicine and telecare, 17 (7), 358–364. https://doi.org/10.1258/jtt.2011.110707
  • Istepanian, R.S., Zitouni, K., Harry, D., et al. (2009). Evaluation of a mobile phone telemonitoring system for glycaemic control in patients with diabetes. Journal of telemedicine and telecare, 15 (3), 125–128. https://doi.org/10.1258/jtt.2009.003006
  • Johansson, T. & Wild, C. (2011). Telerehabilitation in stroke care--a systematic review. Journal of telemedicine and telecare, 17 (1), 1–6. https://doi.org/10.1258/jtt.2010.100105
  • Joo, N.S. & Kim, B.T. (2007). Mobile phone short message service messaging for behaviour modification in a community-based weight control programme in Korea. Journal of telemedicine and telecare, 13 (8), 416–420. https://doi.org/10.1258/135763307783064331
  • Khanra, S., Dhir, A. & Mäntymäki, M. (2020). Big data analytics and enterprises: A bibliometric synthesis of the literature, Enterprise Information Systems, 14(6), 737-768, https://doi.org/10.1080/17517575.2020.1734241
  • Kissi, J., Dai, B., Dogbe, C.S., et al. (2020). Predictive factors of physicians’ satisfaction with telemedicine services acceptance. Health Informatics Journal, 1866–1880. https://doi.org/10.1177/1460458219892162
  • Kumar, A., Sinha, S., Jameel, J., et al. (2022). Telemedicine trends in orthopaedics and trauma during the COVID-19 pandemic: A bibliometric analysis and review. Journal of Taibah University Medical Sciences, 17 (2), 203-213. https://doi.org/10.1016/j.jtumed.2021.09.003.
  • Leena, H. & Gochhait, S. (2020). A bibliometric analysis of telemedicine : Remote healthcare delivery over the years. Eur. J. Mol. Clin. Med.,  7 (6), 2577–2584.
  • Liao, H., Tang, M., Luo, L., et al. (2018). A Bibliometric analysis and visualization of medical big data research. Sustainability, 10 (1), 166. https://doi.org/10.3390/su10010166
  • Luciano, E., Mahmood, M.A. & Mansouri Rad, P. (2020). Telemedicine adoption issues in the United States and Brazil: Perception of healthcare professionals. Health Informatics Journal, 2344–2361. https://doi.org/10.1177/1460458220902957
  • McKay, F.H., Cheng, C., Wright, A., et al. (2018). Evaluating mobile phone applications for health behaviour change: A systematic review. Journal of telemedicine and telecare, 24 (1), 22–30. https://doi.org/10.1177/1357633X16673538
  • Miner, H., Fatehi, A., Ring, D., et al. (2021). Clinician telemedicine perceptions during the COVID-19 pandemic. Telemed. e-Health, 1–48. https://doi.org/10.1089/tmj.2020.0295
  • Mistry, H. (2012). Systematic review of studies of the cost-effectiveness of telemedicine and telecare. Changes in the economic evidence over twenty years. Journal of telemedicine and telecare, 18 (1), 1–6. https://doi.org/10.1258/jtt.2011.110505
  • Moral-Muñoz, J.A., Herrera-Viedma, E., Santisteban-Espejo, A., et al. (2020). Software tools for conducting bibliometric analysis in science: An up-to-date review. Profesional De La información, 29 (1). https://doi.org/10.3145/epi.2020.ene.03
  • Nuari, NA. (2022). Telehealth and telemedicine applications in the management of  diabetes  mellitus  during  pandemic  covid  19:  Bibliometric  analysis. International Journal of Health Science, 2(3), 169-176. https://doi.org/10.55606/ijhs.v2i3.593
  • Peng, C., He, M., Cutrona, S.L., et al. (2020). Theme trends and knowledge structure on mobile health apps: Bibliometric analysis. JMIR Mhealth Uhealth,  8(7), e18212. https://doi.org/10.2196/18212
  • Polisena, J., Tran, K., Cimon, K., et al. (2010a). Home telehealth for chronic obstructive pulmonary disease: a systematic review and meta-analysis. Journal of telemedicine and telecare, 16 (3), 120–127. https://doi.org/10.1258/jtt.2009.090812
  • Polisena, J., Tran, K., Cimon, K., et al. (2010b). Home telemonitoring for congestive heart failure: A systematic review and meta-analysis. Journal of telemedicine and telecare, 16 (2), 68–76. https://doi.org/10.1258/jtt.2009.090406
  • Rosser, B.A. & Eccleston, C. (2011). Smartphone applications for pain management. Journal of Telemedicine and Telecare, 17 (6), 308-312. https://doi.org/10.1258/jtt.2011.101102
  • Russell, T.G. (2007). Physical rehabilitation using telemedicine. Journal of telemedicine and telecare, 13 (5), 217–220. https://doi.org/10.1258/135763307781458886
  • Samadbeik, M., Bastani, P., Fatehi, F. (2022). Bibliometric analysis of COVID-19 publications shows the importance of telemedicine and equitable access to the internet during the pandemic and beyond. Health Inf. Libr. J., 12465. https://doi.org/10.1111/hir.12465
  • Scott Kruse, C., Karem, P., Shifflett, K., et al. (2018). Evaluating barriers to adopting telemedicine worldwide: A systematic review. Journal of telemedicine and telecare, 24 (1), 4–12. https://doi.org/10.1177/1357633X16674087
  • Sikandar, H., Vaicondam, Y., Parveen, S., et al. (2021). Bibliometric analysis of telemedicine and e-health literatüre. Int. J. Online Biomed. Eng., 17(12), 52–69. https://doi.org/10.3991/ijoe.v17i12.25483
  • Smith, A., Thomas, E., Snoswell, C., et al. (2020). Telehealth for global emergencies: Implications for coronavirus disease 2019 (COVID-19). J Telemed Telecare, 20, 1357633X2091656. https://doi.org/10.1177/1357633x20916567
  • Snoswell, C.L., Chelberg, G., De Guzman, K.R., et al. (2021). The clinical effectiveness of telehealth: A systematic review of meta-analyses from 2010 to 2019. Journal of Telemedicine and Telecare, 1-16. https://doi.org/10.1177/1357633X211022907
  • Sreenivasan, A. & Suresh, M. (2022). Future of healthcare start-ups in the era of digitalization: Bibliometric analysis. International Journal of Industrial Engineering and Operations Management,  4(1/2), 1-18. https://doi.org/10.1108/IJIEOM-10-2022-0046
  • Shukla, N., Merigó, J.M., Lammers, T., et al. (2020). Half a century of computer methods and programs in biomedicine: A bibliometric analysis from 1970 to 2017. Computer Methods and Programs in Biomedicine, 183, 105075, https://doi.org/10.1016/j.cmpb.2019.105075.
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  • Vimalananda, V.G., Gupte, G., Seraj, S.M., et al. (2015). Electronic consultations (e-consults) to improve access to specialty care: A systematic review and narrative synthesis. Journal of telemedicine and telecare, 21 (6), 323–330. https://doi.org/10.1177/1357633X15582108
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  • Wei, J., Hollin, I. & Kachnowski, S. (2011). A review of the use of mobile phone text messaging in clinical and healthy behaviour interventions. Journal of telemedicine and telecare, 17 (1), 41–48. https://doi.org/10.1258/jtt.2010.100322
  • Woolford, S.J., Clark, S.J., Strecher, V.J., et al. (2010). Tailored mobile phone text messages as an adjunct to obesity treatment for adolescents. Journal of telemedicine and telecare, 16 (8), 458–461. https://doi.org/10.1258/jtt.2010.100207
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A Bibliometric Analysis of the Journal of Telemedicine and Telecare: 2007-2022

Year 2023, Volume: 14 Issue: 54, 162 - 182, 01.09.2023
https://doi.org/10.5824/ajite.2023.03.001.x

Abstract

Journal of Telemedicine and Telecare (JTT) is one of the leading journals in the world of telemedicine and has a strong influence on research in this field. This study aims to understand the change of the journal over the years and to present a summary about the emerging issues in the field of telemedicine. The analysis used a bibliometric method. JTT has published 1489 articles, 68 reviews, 30 letters, 17 editorials, 6 Erratum and 5 notes until August 2022. All these studies yielded a rate of approximately 19 citations per study, and the journal received a total of 29,423 citations, excluding self citations of all authors. Although the most significant year in terms of publications is 2021 (176), it is 2007 (2948) in terms of the number of cited publications. Moreover, the research by Smith et al.(2020) has been the most cited article (727) in JTT. America (the US) is the leading country in the categories of total publications (495) and the total citations (9625). Australia and the United Kingdom (the UK) are ranked second and third, respectively. European countries are mostly in the top 10. Additionally, JTT has received a significant attention from authors in Europe, America and Australian. Telemedicine is an evolving field and has provided an opportunity to follow the issues of journals in this field and to examine developments in telemedicine. This study presents a telemedicine framework by examining the process of JTT.

References

  • Askari, A., Khodaie, M. & Bahaadinbeigy, K. (2014).  The 60 most highly cited articles published in the Journal of Telemedicine and Telecare and Telemedicine Journal and E-health. Journal of telemedicine and telecare, 20 (1), 35–43. https://doi.org/10.1177/1357633X13519899
  • Barlow, J., Singh, D., Bayer, S., et al. (2007). A systematic review of the benefits of home telecare for frail elderly people and those with long-term conditions. Journal of telemedicine and telecare, 13 (4), 172–179. https://doi.org/10.1258/135763307780908058
  • Bazm, S., Kalantar, S.M. &  Mirzaei, M. (2016). Bibliometric mapping and clustering analysis of Iranian papers on reproductive medicine in Scopus database (2010-2014). International journal of reproductive biomedicine, 14 (6), 371–382.
  • Broens, T.H.F., Huis in’t Veld, R.M.H.A., Vollenbroek-Hutten, M.M.R., et al. (2007). Determinants of successful telemedicine implementations: A literature study. Journal of Telemedicine and Telecare, 13 (6), 303-309. https://doi.org/10.1258/135763307781644951
  • Botsis, T. & Hartvigsen, G. (2008). Current status and future perspectives in telecare for elderly people suffering from chronic diseases. Journal of telemedicine and telecare, 14 (4), 195–203. https://doi.org/10.1258/jtt.2008.070905
  • Chi, N.C. & Demiris, G. (2015). A systematic review of telehealth tools and interventions to support family caregivers. Journal of telemedicine and telecare, 21 (1), 37–44. https://doi.org/10.1177/1357633X14562734
  • Cho, J.H., Lee, H.C., Lim, D.J., et al. (2009). Mobile communication using a mobile phone with a glucometer for glucose control in Type 2 patients with diabetes: As effective as an Internet-based glucose monitoring system. Journal of telemedicine and telecare, 15 (2), 77–82. https://doi.org/10.1258/jtt.2008.080412
  • Cozzens, S.E. (1989). What do citations count? The rhetoric-first model. Scientometrics, 15, 437–447. https://doi.org/10.1007/BF02017064
  • Déglise, C., Suggs, L.S. & Odermatt, P. (2012). SMS for disease control in developing countries: A systematic review of mobile health applications. Journal of telemedicine and telecare,  18 (5), 273–281. https://doi.org/10.1258/jtt.2012.110810
  • Dellifraine, J.L. & Dansky, K.H. (2008). Home-based telehealth: A review and meta-analysis. Journal of telemedicine and telecare, 14 (2), 62–66. https://doi.org/10.1258/jtt.2007.070709
  • Donthu, N., Kumar, S., Mukherjee, D., et al. (2021). How to conduct a bibliometric analysis: An overview and guidelines. Journal of Business Research, 133, 285-296. https://doi.org/10.1016/j.jbusres.2021.04.070
  • Frueh, B.C., Monnier, J., Yim, E., et al. (2007). A randomized trial of telepsychiatry for post-traumatic stress disorder. Journal of telemedicine and telecare, 13 (3), 142–147. https://doi.org/10.1258/135763307780677604
  • Gaviria-Marin, M., Merigó, J.M. & Baier-Fuentes, H. (2019). Knowledge management: A global examination based on bibliometric analysis. Technological Forecasting and Social Change,140, 194-220. https://doi.org/10.1016/j.techfore.2018.07.006
  • Guo, Y., Hao, Z., Zhao, S., et al. (2020). Artificial intelligence in health care: Bibliometric analysis. J Med Internet Res,  22 (7), e18228. doi:10.2196/18228
  • Gutiérrez-Salcedo, M., Martínez, M.Á., Moral-Munoz, J.A. et al. (2018). Some bibliometric procedures for analyzing and evaluating research fields.  Appl Intell, 48, 1275–1287. https://doi.org/10.1007/s10489-017-1105-y
  • Hasvold, P.E. & Wootton, R. (2011). Use of telephone and SMS reminders to improve attendance at hospital appointments: A systematic review. Journal of telemedicine and telecare, 17 (7), 358–364. https://doi.org/10.1258/jtt.2011.110707
  • Istepanian, R.S., Zitouni, K., Harry, D., et al. (2009). Evaluation of a mobile phone telemonitoring system for glycaemic control in patients with diabetes. Journal of telemedicine and telecare, 15 (3), 125–128. https://doi.org/10.1258/jtt.2009.003006
  • Johansson, T. & Wild, C. (2011). Telerehabilitation in stroke care--a systematic review. Journal of telemedicine and telecare, 17 (1), 1–6. https://doi.org/10.1258/jtt.2010.100105
  • Joo, N.S. & Kim, B.T. (2007). Mobile phone short message service messaging for behaviour modification in a community-based weight control programme in Korea. Journal of telemedicine and telecare, 13 (8), 416–420. https://doi.org/10.1258/135763307783064331
  • Khanra, S., Dhir, A. & Mäntymäki, M. (2020). Big data analytics and enterprises: A bibliometric synthesis of the literature, Enterprise Information Systems, 14(6), 737-768, https://doi.org/10.1080/17517575.2020.1734241
  • Kissi, J., Dai, B., Dogbe, C.S., et al. (2020). Predictive factors of physicians’ satisfaction with telemedicine services acceptance. Health Informatics Journal, 1866–1880. https://doi.org/10.1177/1460458219892162
  • Kumar, A., Sinha, S., Jameel, J., et al. (2022). Telemedicine trends in orthopaedics and trauma during the COVID-19 pandemic: A bibliometric analysis and review. Journal of Taibah University Medical Sciences, 17 (2), 203-213. https://doi.org/10.1016/j.jtumed.2021.09.003.
  • Leena, H. & Gochhait, S. (2020). A bibliometric analysis of telemedicine : Remote healthcare delivery over the years. Eur. J. Mol. Clin. Med.,  7 (6), 2577–2584.
  • Liao, H., Tang, M., Luo, L., et al. (2018). A Bibliometric analysis and visualization of medical big data research. Sustainability, 10 (1), 166. https://doi.org/10.3390/su10010166
  • Luciano, E., Mahmood, M.A. & Mansouri Rad, P. (2020). Telemedicine adoption issues in the United States and Brazil: Perception of healthcare professionals. Health Informatics Journal, 2344–2361. https://doi.org/10.1177/1460458220902957
  • McKay, F.H., Cheng, C., Wright, A., et al. (2018). Evaluating mobile phone applications for health behaviour change: A systematic review. Journal of telemedicine and telecare, 24 (1), 22–30. https://doi.org/10.1177/1357633X16673538
  • Miner, H., Fatehi, A., Ring, D., et al. (2021). Clinician telemedicine perceptions during the COVID-19 pandemic. Telemed. e-Health, 1–48. https://doi.org/10.1089/tmj.2020.0295
  • Mistry, H. (2012). Systematic review of studies of the cost-effectiveness of telemedicine and telecare. Changes in the economic evidence over twenty years. Journal of telemedicine and telecare, 18 (1), 1–6. https://doi.org/10.1258/jtt.2011.110505
  • Moral-Muñoz, J.A., Herrera-Viedma, E., Santisteban-Espejo, A., et al. (2020). Software tools for conducting bibliometric analysis in science: An up-to-date review. Profesional De La información, 29 (1). https://doi.org/10.3145/epi.2020.ene.03
  • Nuari, NA. (2022). Telehealth and telemedicine applications in the management of  diabetes  mellitus  during  pandemic  covid  19:  Bibliometric  analysis. International Journal of Health Science, 2(3), 169-176. https://doi.org/10.55606/ijhs.v2i3.593
  • Peng, C., He, M., Cutrona, S.L., et al. (2020). Theme trends and knowledge structure on mobile health apps: Bibliometric analysis. JMIR Mhealth Uhealth,  8(7), e18212. https://doi.org/10.2196/18212
  • Polisena, J., Tran, K., Cimon, K., et al. (2010a). Home telehealth for chronic obstructive pulmonary disease: a systematic review and meta-analysis. Journal of telemedicine and telecare, 16 (3), 120–127. https://doi.org/10.1258/jtt.2009.090812
  • Polisena, J., Tran, K., Cimon, K., et al. (2010b). Home telemonitoring for congestive heart failure: A systematic review and meta-analysis. Journal of telemedicine and telecare, 16 (2), 68–76. https://doi.org/10.1258/jtt.2009.090406
  • Rosser, B.A. & Eccleston, C. (2011). Smartphone applications for pain management. Journal of Telemedicine and Telecare, 17 (6), 308-312. https://doi.org/10.1258/jtt.2011.101102
  • Russell, T.G. (2007). Physical rehabilitation using telemedicine. Journal of telemedicine and telecare, 13 (5), 217–220. https://doi.org/10.1258/135763307781458886
  • Samadbeik, M., Bastani, P., Fatehi, F. (2022). Bibliometric analysis of COVID-19 publications shows the importance of telemedicine and equitable access to the internet during the pandemic and beyond. Health Inf. Libr. J., 12465. https://doi.org/10.1111/hir.12465
  • Scott Kruse, C., Karem, P., Shifflett, K., et al. (2018). Evaluating barriers to adopting telemedicine worldwide: A systematic review. Journal of telemedicine and telecare, 24 (1), 4–12. https://doi.org/10.1177/1357633X16674087
  • Sikandar, H., Vaicondam, Y., Parveen, S., et al. (2021). Bibliometric analysis of telemedicine and e-health literatüre. Int. J. Online Biomed. Eng., 17(12), 52–69. https://doi.org/10.3991/ijoe.v17i12.25483
  • Smith, A., Thomas, E., Snoswell, C., et al. (2020). Telehealth for global emergencies: Implications for coronavirus disease 2019 (COVID-19). J Telemed Telecare, 20, 1357633X2091656. https://doi.org/10.1177/1357633x20916567
  • Snoswell, C.L., Chelberg, G., De Guzman, K.R., et al. (2021). The clinical effectiveness of telehealth: A systematic review of meta-analyses from 2010 to 2019. Journal of Telemedicine and Telecare, 1-16. https://doi.org/10.1177/1357633X211022907
  • Sreenivasan, A. & Suresh, M. (2022). Future of healthcare start-ups in the era of digitalization: Bibliometric analysis. International Journal of Industrial Engineering and Operations Management,  4(1/2), 1-18. https://doi.org/10.1108/IJIEOM-10-2022-0046
  • Shukla, N., Merigó, J.M., Lammers, T., et al. (2020). Half a century of computer methods and programs in biomedicine: A bibliometric analysis from 1970 to 2017. Computer Methods and Programs in Biomedicine, 183, 105075, https://doi.org/10.1016/j.cmpb.2019.105075.
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There are 50 citations in total.

Details

Primary Language English
Subjects Library and Information Studies (Other)
Journal Section Research Articles
Authors

Arzu Kurşun 0000-0001-9560-7689

Publication Date September 1, 2023
Submission Date April 5, 2023
Published in Issue Year 2023 Volume: 14 Issue: 54

Cite

APA Kurşun, A. (2023). A Bibliometric Analysis of the Journal of Telemedicine and Telecare: 2007-2022. AJIT-E: Academic Journal of Information Technology, 14(54), 162-182. https://doi.org/10.5824/ajite.2023.03.001.x