The relationship between citation-based metrics and Twitter in the area of age related macular degeneration research: Altmetric and bibliometric study

Sumeyra Koprubasi 1 * , Erkan Bulut 2, Ali Riza Cenk Celebi 3
More Detail
1 Department of Ophthalmology, Sancaktepe Şehit Prof. Dr. Ilhan Varank Training and Research Hospital, Istanbul, Turkey
2 Department of Opticianry, Vocational School of Health Services, Istanbul Gelisim University, Istanbul, Turkey
3 Department of Ophthalmology, Faculty of Medicine, Acibadem University, Istanbul, Turkey
* Corresponding Author
J CLIN MED KAZ, Volume 19, Issue 5, pp. 12-22. https://doi.org/10.23950/jcmk/12502
OPEN ACCESS 937 Views 526 Downloads
Download Full Text (PDF)

ABSTRACT

Purpose: The aim of this research is to analyze the bibliometric and altmetric scores of highly cited articles in the area of age related macular degeneration (AMD) research and to assess the correlations between them.
Material and methods: The data of publications in last decade were retrieved from the Web of Science Core Collection database using "age related macular degeneration" as a search term. The top 100 cited articles (T100)  list was analyzed by author name, publication year, main topic, study type, journal name, journal impact factor (IF), H-index, total citation number (TCN), average citation per year (ACpY), Altmetric attention score (AAS), and number of tweets (NTs). VOSviewer software was utilized for  visualization of  bibliometric data.
Results: We discovered 16.984 articles in the last decade. The median values for TCN and AAS were 221 (IQR 178–380.75) and 13 (IQR 4-37.75), respectively in T100 list. The majority of the highly cited articles in AMD research have mainly focused on AMD treatment (n=34), especially anti-vascular endothelial growth factor therapy. However, social attention was primarily on the stem cell therapy. While AAS and NTs did not have significant correlation with TCN, they did show a significant positive correlation with ACpY. AAS and NTs showed significant positive correlation with journal IF and H-index.
Conclusion: Treatment for AMD is the most interested issue in the area. Stem cell therapies are popular on social media. The interest of social media is on articles that continue to be cited over the years rather than articles with high total citations.

CITATION

Koprubasi S, Bulut E, Celebi ARC. The relationship between citation-based metrics and Twitter in the area of age related macular degeneration research: Altmetric and bibliometric study. J CLIN MED KAZ. 2022;19(5):12-22. https://doi.org/10.23950/jcmk/12502

REFERENCES

  • Klaver CC, Assink JJ, van Leeuwen R, Wolfs RC, Vingerling JR, Stijnen T, Hofman A, Jong PT. Incidence and progression rates of age-related maculopathy: the Rotterdam Study. Invest Ophthalmol Vis Sci. 2001;42(10):2237-2241.
  • Friedman DS, O'Colmain BJ, Muñoz B, Tomany SC, McCarty C, de Jong PT, et al. Prevalence of age-related macular degeneration in the United States. Arch Ophthalmol. 2004;122(4):564-572. https://doi.org/10.1001/archopht.1941.00870100042005
  • Cooper ID. Bibliometrics basics. J Med Libr Assoc. 2015;103(4):217-218. https://doi.org/10.3163/1536-5050.103.4.013
  • Zou X, Yue WL, Vu HL. Visualization and analysis of mapping knowledge domain of road safety studies. Accid Anal Prev. 2018;118(9):131-145. https://doi.org/10.1016/j.aap.2018.06.010
  • Zhang XD, Wang CX, Jiang HH, Jing SL, Zhao JY, Yu ZY. Trends in research related to high myopia from 2010 to 2019: a bibliometric and knowledge mapping analysis. Int J Ophthalmol. 2021;14(4):589-599. https://doi.org/10.18240/ijo.2021.04.17
  • Citrome L. Moving forward with article level metrics: introducing altmetrics. Int J Clin Pract. 2015;69(8):811. https://doi.org/10.1111/ijcp.12706
  • Gasparyan AY, Yessirkepov M, Voronov A, Maksaev A, Kitas G. Article-Level Metrics. J Korean Med Sci. 2021;36(11):e74. https://doi.org/10.3346/jkms.2021.36.e74
  • Melero R. Altmetrics - a complement to conventional metrics. Biochem Med. 2015;25(2):152-160. https://doi.org/10.11613/BM.2015.016
  • Bulut E, Celebi ARC, Dokur M, Dayi O. Analysis of trending topics in glaucoma articles from an altmetric perspective. Int Ophthalmol. 2021;41(6):2125-2137. https://doi.org/10.1007/s10792-021-01770-9
  • Men M, Fung SSM, Tsui E. What's trending: a review of social media in ophthalmology. Curr Opin Ophthalmol. 2021;32(4):324-330. https://doi.org/10.1097/ICU.0000000000000772
  • Scottish Intercollegiate Guidelines Network (SIGN 50). In: a guideline developer's handbook: Healthcare Improvement Scotland. Available from: http://www.sign.ac.uk/assets/. Accessed 3 April 2021.
  • Paladugu R, Schein M, Gardezi S, Wise L. One hundred citation classics in general surgical journals. World J Surg. 2002;26(9):1099-1105. https://doi.org/10.1007/s00268-002-6376-7
  • Frapporti G, Linnartz LAM, Vriend SP. SPEARMEN-a dBase program for computation and testing of Spearman rank correlation coefficient distributions. Comput and Geosci. 1991;17(4):569-589. https://doi.org/10.1016/0098-3004(91)90115-T
  • Martin DF, Maguire MG, Ying GS, Grunwald JE, Fine SL, Jaffe GJ. Ranibizumab and bevacizumab for neovascular age-related macular degeneration. N Engl J Med. 2011;364 (20):1897-1908. https://doi.org/10.1056/NEJMoa1102673
  • da Cruz L, Fynes K, Georgiadis O, Kerby J, Luo YH, Ahmado A, et al. Phase 1 clinical study of an embryonic stem cell-derived retinal pigment epithelium patch in age-related macular degeneration. Nat Biotechnol. 2018;36(4):328-337. https://doi.org/10.1038/nbt.4114
  • Hayon S, Tripathi H, Stormont IM, Dunne MM, Naslund MJ, Siddiqui MM.Twitter Mentions and Academic Citations in the Urologic Literature. J Urol. 2019;123(6):28-33. https://doi.org/10.1016/j.urology.2018.08.041
  • Paradis N, Knoll MA, Shah C, Lambert C, Delouya G, Bahig H, et al. Twitter: A Platform for Dissemination and Discussion of Scientific Papers in Radiation Oncology. Am J Clin Oncol. 2020;43(6):442-445. https://doi.org/10.1097/COC.0000000000000685
  • Smith ZL, Chiang AL, Bowman D, Wallace MB. Longitudinal relationship between social media activity and article citations in the journal Gastrointestinal Endoscopy. Gastrointest Endosc. 2019;90(1):77-83. https://doi.org/10.1016/j.gie.2019.03.028
  • Hughes H, Hughes A, Murphy C. The Use of Twitter by the Trauma and Orthopaedic Surgery Journals: Twitter Activity, Impact Factor, and Alternative Metrics. Cureus. 2011;9(12):e1931.
  • Kelly BS, Redmond CE, Nason GJ, Healy GM, Horgan NA, Heffernan EJ. The Use of Twitter by Radiology Journals: An Analysis of Twitter Activity and Impact Factor. J Am Coll Radiol. 2016;13(11):1391-1396. https://doi.org/10.1016/j.jacr.2016.06.041
  • Duffy CC, Bass GA, Linton KN, Honan DM. Social media and anaesthesia journals. Br J Anaesth. 2015;115(6):940-941. https://doi.org/10.1093/bja/aev389
  • Kolahi J, Khazaei S, Iranmanesh P, Kim J, Bang H, Khademi A. Meta-Analysis of Correlations between Altmetric Attention Score and Citations in Health Sciences. Biomed Res Int. 2021;6680764. https://doi.org/10.1155/2021/6680764
  • Garcovich D, Adobes Martin M. Measuring the social impact of research in Paediatric Dentistry: An Altmetric study. Int J Paediatr Dent. 2020;30(1):66-74. https://doi.org/10.1111/ipd.12575
  • Suzan V, Unal D. Comparison of attention for malnutrition research on social media versus academia: Altmetric score analysis. Nutr J. 2021;82:111060. https://doi.org/10.1016/j.nut.2020.111060
  • Haustein S, Peters I, Bar-Ilan J, Priem J, Shema H, Terliesner J. Coverage and adoption of altmetrics sources in the bibliometric community. Scientometrics. 2014;101(2):1145-1163. https://doi.org/10.1007/s11192-013-1221-3
  • Thelwall M, Fairclough R. The influence of time and discipline on the magnitude of correlations between citation counts and quality scores. Journal of Informetrics. 2015;9(3):529-541. https://doi.org/10.1016/j.joi.2015.05.006
  • Al-Khersan H, Lazzarini TA, Fan KC, Patel NA, Tran AQ, Tooley AA, et al. Social media in ophthalmology: An analysis of use in the professional sphere. Health Informatics J. 2020;26(4):2967-2975. https://doi.org/10.1177/1460458220954610
  • AlFaris E, Irfan F, Ponnamperuma G, Jamal A, Van der Vleuten C, Al Maflehi N. The pattern of social media use and its association with academic performance among medical students. Med Teach. 2018;40(1):77-82. https://doi.org/10.1080/0142159X.2018.1465536
  • Haustein S, Costas R, Larivière V. Characterizing social media metrics of scholarly papers: the effect of document properties and collaboration patterns. PLoS One. 2015;10(3):e0120495. https://doi.org/10.1371/journal.pone.0120495