RT Journal Article
T1 Information and Scientific Impact of Advanced Therapies in the Age of Mass Media: Altmetrics-Based Analysis of Tissue Engineering
A1 Santisteban-Espejo, Antonio
A1 Martin-Piedra, Miguel Angel
A1 Campos, Antonio
A1 Moran-Sanchez, Julia
A1 Cobo, Manuel J.
A1 Pacheco-Serrano, Ana I.
A1 Moral-Munoz, Jose A.
K1 Advanced therapies
K1 Tissue engineering
K1 Scientometrics
K1 Altmetrics
K1 Online
K1 Web
K1 Communication of science
K1 Terapéutica
K1 Ingeniería tisular
K1 Sistemas en línea
K1 Navegador web
K1 Comunicación en salud
K1 Bibliometría
K1 Medios de comunicación de masas
AB 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
PB JMIR Publications
SN 1439-4456
YR 2021
FD 2021-11-26
LK http://hdl.handle.net/10668/3939
UL http://hdl.handle.net/10668/3939
LA en
NO Santisteban-Espejo A, Martin-Piedra MA, Campos A, Moran-Sanchez J, Cobo MJ, Pacheco-Serrano AI, et al. Information and Scientific Impact of Advanced Therapies in the Age of Mass Media: Altmetrics-Based Analysis of Tissue Engineering. J Med Internet Res. 2021 Nov 26;23(11):e25394
DS RISalud
RD Apr 5, 2025