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Association Between Immediacy of Citations and Altmetrics in COVID-19 Research by Artificial Neural Networks

Published online by Cambridge University Press:  31 August 2021

Na Ran*
Affiliation:
Library, University of Science and Technology Beijing, Beijing, P.R. China
*
Corresponding author: Na Ran, Email: ranna@ustb.edu.cn.

Abstract

Objectives:

Both citations and Altmetrics are indexes of influence of a publication, potentially useful, but to what extent that the professional-academic citation and media-dominated Altmetrics are consistent with each other is a topic worthy of being investigated. The objective is to show their correlation.

Methods:

DOI and citation information of coronavirus disease 2019 (COVID-19) researches were obtained from the Web of Science, its Altmetric indicators were collected from the Altmetrics. Correlation between the immediacy of citation and Altmetrics of COVID-19 research was studied by artificial neural networks.

Results:

Pearson coefficients are 0.962, 0.254, 0.222, 0.239, 0.363, 0.218, 0.136, 0.134, and 0.505 (P < 0.01) for dimensions citation, attention score, journal impact factor, news, blogs, Twitter, Facebook, video, and Mendeley correlated with the SCI citation, respectively. The citations from the Web of Science and that from the Altmetrics have deviance large enough in the current. Altmetric score is not precise to describe the immediacy of citations of academic publication in COVID-19 research.

Conclusions:

The effects of news, blogs, Twitter, Facebook, video, and Mendeley on SCI citations are similar to that of the journal impact factor. This paper performs a pioneer study for investigating the role of academic topics across Altmetric sources on the dissemination of scholarly publications.

Type
Original Research
Copyright
© Society for Disaster Medicine and Public Health, Inc. 2021

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References

Hansen, RP, Vedsted, P, Sokolowski, I, et al. Time intervals from first symptom to treatment of cancer: a cohort study of 2,212 newly diagnosed cancer patients. BMC Health Serv Res. 2011;11(1):284. doi: 10.1186/1472-6963-11-284 CrossRefGoogle Scholar
Silva, N, Mekaro, KS, Santos, RIO, et al. Knowledge and health promotion practice of Family Health Strategy nurses. Rev Bras Enferm. 2020;73(5):e20190362. doi: 10.1590/0034-7167-2019-0362 CrossRefGoogle ScholarPubMed
Walsh, L, Subbarao, I, Gebbie, K, et al. Core competencies for disaster medicine and public health. Disaster Med Public Health Prep. 2012;6(1):44-52. doi: 10.1001/dmp.2012.4 Google ScholarPubMed
Rovetta, A, Bhagavathula, AS. COVID-19-related web search behaviors and infodemic attitudes in Italy: infodemiological study. JMIR Public Health Surveill. 2020;6(2):e19374. doi: 10.2196/19374 Google Scholar
Priem, J, Taraborelli, D, Groth, P, et al. Altmetrics: a manifesto. Altmetricsorg. http://Altmetrics.org/manifesto/. Accessed September 1, 2021.Google Scholar
Galligan, F, Dyas-Correia, S. Altmetrics: rethinking the way we measure. Serials Rev. 2013;39(1):56-61. doi: 10.1016/j.serrev.2013.01.003 CrossRefGoogle Scholar
Haustein, S, Thelwall, M, Larivière, V, et al. On the relation between Altmetric s and citations in medicine (RIP). presented at: Proceedings at: The 18th International Conference on Science and Technology Indicators (STI); September 4-6, 2013; Berlin, Germany.Google Scholar
Haustein, S, Peters, I, Sugimoto, CR, et al. Tweeting biomedicine: an analysis of tweets and citations in the biomedical literature. Article. J Assoc Inf Sci Technol. 2014;65(4):656-669. doi: 10.1002/asi.23101 CrossRefGoogle Scholar
Thelwall, M, Haustein, S, Larivière, V, et al. Do Altmetric s work? Twitter and ten other social web services. PLoS One. 2013;8:e64841. doi: 10.1371/journal.pone.0064841 CrossRefGoogle Scholar
Zahedi, Z, Costas, R, Wouters, P. How well developed are Altmetric s? cross-disciplinary analysis of the presence of ‘alternative metrics’ in scientific publications (RIP). Presented at: Proceedings of ISSI 2013 - 14th International Society of Scientometrics and Informetrics Conference; January 1, 2013;Google Scholar
Zahedi, Z, Costas, R, Wouters, P. How well developed are Altmetric s? A cross-disciplinary analysis of the presence of ‘alternative metrics’ in scientific publications. Scientometrics. 2014;101(2):1491-1513. doi: 10.1007/s11192-014-1264-0 CrossRefGoogle Scholar
Costas, R, Zahedi, Z, Wouters, P. Do “Altmetrics” correlate with citations? Extensive comparison of Altmetric indicators with citations from a multidisciplinary perspective. J Assoc Inf Sci Technol. 2015;66(10):2003-2019. doi: 10.1002/asi.23309 Google Scholar
Thelwall, M, Kousha, K. ResearchGate: disseminating, communicating, and measuring scholarship? J Assoc Inf Sci Technol. 2015;66(5):876-889. doi: 10.1002/asi.23236 CrossRefGoogle Scholar
Bollen, J, Van de Sompel, H, Hagberg, A, et al. A principal component analysis of 39 scientific impact measures. PLoS One. 2009;4(6):e6022. doi: 10.1371/journal.pone.0006022 CrossRefGoogle ScholarPubMed
Priem, J, Piwowar, HA, Hemminger, BM. Altmetrics in the wild: using social media to explore scholarly impact. arXiv e-prints. https://ui.adsabs.harvard.edu/abs/2012arXiv1203.4745P. Accessed September 13, 2021.Google Scholar
Mohammadi, E, Thelwall, M. Mendeley readership Altmetric s for the social sciences and humanities: research evaluation and knowledge flows. J Assoc Inf Sci Technol. 2014;65(8):1627-1638. doi: 10.1002/asi.23071 Google Scholar
Almousa, O. Users’ classification and usage-pattern identification in academic social networks. presented at: 2011 IEEE Jordan Conference on Applied Electrical Engineering and Computing Technologies (AEECT); December 6-8, 2011.Google Scholar
Jeng, W, He, D, Jiang, J. User participation in an academic social networking service: a survey of open group users on Mendeley. J Am Soc Inf Sci Technol. 2015;66:890-904. doi: 10.1002/asi.23225 Google Scholar
Jiang, J, Ni, C, He, D, et al. Mendeley group as a new source of interdisciplinarity study: how do disciplines interact on mendeley? Presented at: Proceedings of the 13th ACM/IEEE-CS joint conference on Digital libraries; 2013; Indianapolis, Indiana, USA.Google Scholar
Eysenbach, G. Can tweets predict citations? Metrics of social impact based on Twitter and correlation with traditional metrics of scientific impact. J Med Internet Res. 2011;13(4):e123. doi: 10.2196/jmir.2012 CrossRefGoogle ScholarPubMed
Fang, Z, Costas, R, Tian, W, et al. An extensive analysis of the presence of Altmetric data for Web of Science publications across subject fields and research topics. Scientometrics. 2020;124(3):2519-2549. doi: 10.1007/s11192-020-03564-9 CrossRefGoogle ScholarPubMed
Chang, J, Desai, N, Gosain, A. Correlation between Altmetric score and citations in pediatric surgery core journals. J Surg Res. 2019;243:52-58. doi: 10.1016/j.jss.2019.05.010 Google ScholarPubMed
Azer, SA, Azer, S. Top-cited articles in medical professionalism: a bibliometric analysis versus Altmetric scores. BMJ Open. 2019;9(7):e029433. doi: 10.1136/bmjopen-2019-029433 CrossRefGoogle ScholarPubMed
Kim, Y, Kim, J-E, Kim, Y, et al. Social attention and scientific articles on stroke: Altmetric analysis of top-50 articles. Clin Neurol Neurosurg. 2019;183:105386. doi: 10.1016/j.clineuro.2019.105386 CrossRefGoogle ScholarPubMed
Warren, VT, Patel, B, Boyd, CJ. Analyzing the relationship between Altmetric score and literature citations in the Implantology literature. Clin Implant Dent Relat Res. 2020;22(1):54-58. doi: 10.1111/cid.12876 CrossRefGoogle ScholarPubMed
Parrish, J, Jenkins, N, Brundage, T, et al. The top 100 spine surgery articles on social media: an Altmetric study. Spine. 2020;45:1. doi: 10.1097/BRS.0000000000003508 Google ScholarPubMed
Fox, WP. Mathematical Modeling for Business Analytics. London: Chapman and Hall/CRC; 2017:1-430.CrossRefGoogle Scholar
Mukherjee, S, Sinha, B, Chattopadhyay, A. Statistical Methods in Social Science Research. New York: Springer; 2018.CrossRefGoogle Scholar
Basheer, IA, Hajmeer, M. Artificial neural networks: fundamentals, computing, design, and application. J Microbiol Methods. 2000;43(1):3-31. doi: 10.1016/S0167-7012(00)00201-3 CrossRefGoogle ScholarPubMed
Pukelis, L, Stančiauskas, V. The opportunities and limitations of using artificial neural networks in social science research. Politologija. 2019;94:56-80. doi: 10.15388/Polit.2019.94.2 CrossRefGoogle Scholar
Di Franco, G, Santurro, M. Machine learning, artificial neural networks and social research. Quality & Quantity. 2020. doi: 10.1007/s11135-020-01037-yGoogle Scholar
Abrishami, A, Aliakbary, S. Predicting citation counts based on deep neural network learning techniques. Journal Informetrics. 2019;13(2):485-499. doi: 10.1016/j.joi.2019.02.011 CrossRefGoogle Scholar
Ruan, XM, Zhu, YY, Li, J, et al. Predicting the citation counts of individual papers via a BP neural network. J Informetrics. 2020;14(3):101039. doi: 10.1016/j.joi.2020.101039 CrossRefGoogle Scholar
Zhang, X, Xie, Q, Song, M. Measuring the impact of novelty, bibliometric, and academic-network factors on citation count using a neural network. J Informetrics. 2021;15(2):101140. doi: 10.1016/j.joi.2021.101140 CrossRefGoogle Scholar
Arencibia-Jorge, R, Villaseñor, EA, Lozano-Díaz, IA, et al. Elsevier’s journal metrics for the identification of a mainstream journals core: a case study on Mexico. LIBRES. 2016;26(1):1-13.Google Scholar
Elmore, SA. The Altmetric attention score: what does it mean and why should i care? Toxicol Pathol. 2018;46(3):252-255. doi: 10.1177/0192623318758294 CrossRefGoogle ScholarPubMed
Modarres, R. Multi-criteria validation of artificial neural network rainfall-runoff modeling. Hydrology Earth Syst Sci. 2009;13:411-421.Google Scholar
Trigo, R, Palutikof, J. Simulation of daily temperatures for climate change scenarios over Portugal: a neural network model approach. Climate Res. 1999;13:45-59. doi: 10.3354/cr013045 CrossRefGoogle Scholar
Garcovich, D, Adobes Martin, M. Measuring the social impact of research in paediatric dentistry: an Altmetric study. Int J Paediatr Dent. 2020/01/01 2020;30(1):66-74. doi: 10.1111/ipd.12575 Google ScholarPubMed