Evaluation of the awareness of novel advanced therapies among family medicine residents in Spain

Identification of histological threshold concepts in health sciences curricula: Students' perception

Students' metacognitive skills and perceptions are considered important variables for high-quality learning. In this study, students' perceptions were used to identify histological threshold concepts (integrative, irreversible, transformative, and troublesome) in three health sciences curricula. A specific questionnaire was developed and validated to characterize students' perceptions of histological threshold concepts. A sample of 410 undergraduate students enrolled in the dentistry, medicine, and pharmacy degree programs participated in the study. Concepts assessed in the study were clustered to ten categories (factors) by exploratory and confirmatory factor analysis. Concepts linked to tissue organization and tissue functional states received the highest scores from students in all degree programs, suggesting that the process of learning histology requires the integration of both static concepts related to the constituent elements of tissues and dynamic concepts such as stem cells as a tissue renewal substrate, or the euplasic, proplasic and retroplasic states of tissues. The complexity of integrating static and dynamic concepts may pose a challenging barrier to the comprehension of histology. In addition, several differences were detected among the students in different degree programs. Dentistry students more often perceived morphostructural concepts as threshold concepts, whereas medical students highlighted concepts related to two-dimensional microscopic identification. Lastly, pharmacy students identified concepts related to tissue general activity as critical for the comprehension and learning of histology. The identification of threshold concepts through students' perceptions is potentially useful to improve the teaching and learning process in health sciences curricula.

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

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.

An Evolutive and Scientometric Research on Tissue Engineering Reviews

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. Impact statement Scientometric analysis of published reviews about tissue engineering (TE) suggests that TE can be considered a consolidating area as it leaves the forefront stage of a gompertzian growth curve model. 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.