Information and Scientific Impact of Advanced Therapies in the Age of Mass Media: Altmetrics-Based Analysis of Tissue Engineering.

Autor: Santisteban-Espejo A; Department of Pathology, Puerta del Mar University Hospital, Cadiz, Spain.; Institute of Research and Innovation in Biomedical Sciences of the Province of Cadiz (INiBICA), University of Cadiz, Cadiz, Spain., Martin-Piedra MA; Department of Histology, Tissue Engineering Group, University of Granada, Granada, Spain., Campos A; Department of Histology, Tissue Engineering Group, University of Granada, Granada, Spain., Moran-Sanchez J; Department of Medicine, University of Cadiz, Cadiz, Spain.; Department of Hematology and Hemotherapy, Puerta del Mar University Hospital, Cadiz, Spain., Cobo MJ; Department of Computer Science and Engineering, University of Cadiz, Cadiz, Spain., Pacheco-Serrano AI; Department of Nursing and Physiotherapy, University of Cadiz, Cadiz, Spain., Moral-Munoz JA; Institute of Research and Innovation in Biomedical Sciences of the Province of Cadiz (INiBICA), University of Cadiz, Cadiz, Spain.; Department of Nursing and Physiotherapy, University of Cadiz, Cadiz, Spain.
Jazyk: angličtina
Zdroj: Journal of medical Internet research [J Med Internet Res] 2021 Nov 26; Vol. 23 (11), pp. e25394. Date of Electronic Publication: 2021 Nov 26.
DOI: 10.2196/25394
Abstrakt: Background: Tissue engineering (TE) constitutes a multidisciplinary field aiming to construct artificial tissues to regenerate end-stage organs. Its development has taken place since the last decade of the 20th century, entailing a clinical revolution. TE research groups have worked and shared relevant information in the mass media era. Thus, it would be interesting to study the online dimension of TE research and to compare it with traditional measures of scientific impact.
Objective: The objective of this study was to evaluate the online dimension of TE documents from 2012 to 2018 using metadata obtained from the Web of Science (WoS) and Altmetric and to develop a prediction equation for the impact of TE documents from altmetric scores.
Methods: We analyzed 10,112 TE documents through descriptive and statistical methods. First, the TE temporal evolution was exposed for WoS and 15 online platforms (news, blogs, policy, Twitter, patents, peer review, Weibo, Facebook, Wikipedia, Google, Reddit, F1000, Q&A, video, and Mendeley Readers). The 10 most cited TE original articles were ranked according to the normalized WoS citations and the normalized Altmetric Attention Score. Second, to better comprehend the TE online framework, correlation and factor analyses were performed based on the suitable results previously obtained for the Bartlett sphericity and Kaiser-Meyer-Olkin tests. Finally, the linear regression model was applied to elucidate the relation between academics and online media and to construct a prediction equation for TE from altmetrics data.
Results: TE dynamic shows an upward trend in WoS citations, Twitter, Mendeley Readers, and Altmetric Scores. However, WoS and Altmetric rankings for the most cited documents clearly differ. When compared, the best correlation results were obtained for Mendeley Readers and WoS (ρ=0.71). In addition, the factor analysis identified 6 factors that could explain the previously observed differences between academic institutions and the online platforms evaluated. At this point, the mathematical model constructed is able to predict and explain more than 40% of TE WoS citations from Altmetric scores.
Conclusions: Scientific information related to the construction of bioartificial tissues increasingly reaches society through different online media. Because the focus of TE research importantly differs when the academic institutions and online platforms are compared, basic and clinical research groups, academic institutions, and health politicians should make a coordinated effort toward the design and implementation of adequate strategies for information diffusion and population health education.
(©Antonio Santisteban-Espejo, Miguel Angel Martin-Piedra, Antonio Campos, Julia Moran-Sanchez, Manuel J Cobo, Ana I Pacheco-Serrano, Jose A Moral-Munoz. Originally published in the Journal of Medical Internet Research (https://www.jmir.org), 26.11.2021.)
Databáze: MEDLINE
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