MétaCan
Menu
Back to cohort
Record W4402039454 · doi:10.1016/j.edumed.2024.100961

Portuguese scientific output in medical education between 2013–2022: From local to global networks

2024· article· en· W4402039454 on OpenAlexaboutno aff
Teresa Costa, Sofia Serra, Nuno Neuparth, António Bensabat Rendas

Bibliographic record

VenueEducación Médica · 2024
Typearticle
Languageen
FieldMedicine
TopicInnovations in Medical Education
Canadian institutionsnot available
Fundersnot available
KeywordsPortugueseComputer sciencePhilosophy

Abstract

fetched live from OpenAlex

The scope of medical education (ME) as an autonomous field of study is still under debate. The present study aimed to identify publications addressing the topic of ME, published in international medical journals, by Portuguese authors, alone or in collaboration with foreign colleagues. Publications were retrieved from Scopus and Web of Science, between 2013 and 2022. Each publication was identified by title, name, and affiliation of the corresponding author. Affiliation of all authors was also taken into consideration to detect networks. Titles were used to identify subjects, complemented by keywords and abstract. Journal Citation Reports and Scimago Journal Rank indexed journals in the education category were identified and from these ME journals were selected. We chose 29 journals from which 17 had publications from Portuguese’s authors in a total of 80 publications. The top journals in terms of productivity were BMC Medical Education, Medical Teacher, and Advances in Health Sciences Education . The Portuguese international cooperation involved Europe (United Kingdom, Spain, the Netherlands, and Ireland), North America (USA and Canada) and Oceania (Australia). Outside the Northen Hemisphere, cooperation involved mostly Brazil. Nationally, the dominant networks involved the Universities of Porto and Minho. Five core areas were identified namely “medical education”, “medical student”, “health care personnel”, “medical school”, and “undergraduate medical education”. Despite the limitations of this study because the search was only focused on ME journals it showed a trend towards internationalisation of some Portuguese authors, particularly those who were also involved in established national networks. El alcance de la educación médica como campo de estudio autónomo sigue siendo objeto de debate. El presente estudio tuvo como objetivo identificar las publicaciones que abordan el tema de la educación médica (EM), publicadas en revistas médicas internacionales, por autores portugueses, solos o en colaboración con colegas extranjeros. Las publicaciones fueron recuperadas de Scopus y Web of Science, entre 2013 y 2022. Cada publicación fue identificada por título, nombre y afiliación del autor correspondiente. También se tuvo en cuenta la afiliación de todos los autores para detectar redes. Los títulos se utilizaron para identificar los temas, complementados por las palabras clave y el resumen. Se identificaron las revistas indexadas en Journal Citation Reports y Scimago Journal Rank en la categoría de educación y de ellas se seleccionaron las revistas de EM. Se seleccionaron 29 revistas de las cuales 17 tenían publicaciones de autores portugueses en un total de 80 publicaciones. Las principales revistas en términos de productividad fueron BMC Medical Education, Medical Teacher y Advances in Health Sciences Education . La cooperación internacional portuguesa se centró en Europa (principalmente Reino Unido, España, Países Bajos e Irlanda), Norteamérica (EE.UU. y Canadá) y Oceanía (Australia). Fuera del hemisferio norte, la cooperación se centró principalmente en Brasil. A nivel nacional, las redes predominantes son las de las universidades de Oporto y Minho.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.002
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.528
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.004
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0030.001

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.014
GPT teacher head0.346
Teacher spread0.332 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; both teacher heads agree on what is shown here.

Study designNot applicable
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations0
Published2024
Admission routes1
Has abstractyes

Explore more

Same venueEducación MédicaSame topicInnovations in Medical EducationFrench-language works237,207