An Evolutive and Scientometric Research on Tissue Engineering Reviews.
Clicks: 322
ID: 95374
2019
Article Quality & Performance Metrics
Overall Quality
Improving Quality
0.0
/100
Combines engagement data with AI-assessed academic quality
Reader Engagement
Star Article
69.2
/100
317 views
258 readers
Trending
AI Quality Assessment
Not analyzed
Abstract
Number of publications has been widely used as a measure of research output, especially academic and university research. Number of publications in tissue engineering (TE) has increased year by year since early 1990s. However, after an exponential growth phase, recently publications increase at lower rates, suggesting a consolidation process in which reviews become a relevant and high-evidence document type. The aim of this study is to perform a scientometric evaluation of published literature reviews on TE to assess the status of scientific evolution and confirm the consolidation of TE as a research area. Published reviews on TE from 1991 to 2018 were retrieved from Web of Science core collection and this corpus of knowledge was analyzed by growth rate, research area, source title, and citation. Our results revealed that TE can be considered a consolidating area as it leaves the forefront stage of a gompertzian growth curve model. Original research/review ratio is lineally decreasing during the past decade. The emergence of reviews serves to confirm and refute hypothesis and build up a more reliable theoretical framework as well as a guide for future educational approaches. Distribution assessment of categories and journals indicates the multidisciplinary profile of this area focused on the design and development of new tissues. Biomedical sciences become relevant productors of reviews as they need to support TE innovations with high evidence leading to a safer and more efficient treatment of current injuries and diseases.
Abstract Quality Issue:
This abstract appears to be incomplete or contains metadata (236 words).
Try re-searching for a better abstract.
| Reference Key |
martinpiedra2019antissue
Use this key to autocite in the manuscript while using
SciMatic Manuscript Manager or Thesis Manager
|
|---|---|
| Authors | Martin-Piedra, Miguel Angel;Santisteban-Espejo, Antonio;Moral-Munoz, Jose Antonio;Campos, Fernando;Chato-Astrain, Jesus;Garcia-Garcia, Oscar Dario;Sanchez-Porras, David;Campos, Antonio; |
| Journal | tissue engineering part a |
| Year | 2019 |
| DOI |
10.1089/ten.TEA.2019.0247
|
| URL | |
| Keywords |
Citations
No citations found. To add a citation, contact the admin at info@scimatic.org
Comments
No comments yet. Be the first to comment on this article.