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Bibliometric Analysis of Neurology Articles Published in General Medicine Journals

2021· article· en· W3153953002 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueJAMA Network Open · 2021
Typearticle
Languageen
FieldDecision Sciences
Topicscientometrics and bibliometrics research
Canadian institutionsChildren's Hospital of Eastern Ontario
Fundersnot available
KeywordsMedicineSpecialtyMEDLINEImpact factorNeurologyBibliometricsFamily medicineInternal medicineLibrary scienceComputer sciencePsychiatryPolitical science

Abstract

fetched live from OpenAlex

Importance: A significant portion of neurology literature is published in general medicine journals. Despite this, a detailed examination of publication patterns of neurology articles in these journals has not yet been carried out. Objective: To examine the publication patterns of neurology articles in general medicine journals during a 10-year period using a bibliometric approach. Design, Setting, and Participants: This cross-sectional bibliometric analysis identified the top 5 general medicine journals using the 2017 Journal Citations Report. Four other medical subspecialties (ie, immunology, endocrinology, gastroenterology, and pulmonology) were selected for comparison of publication patterns with neurology. Using MEDLINE, the 5 journals were searched for articles published between 2009 and 2018 that were indexed with the following MeSH terms: nervous system diseases, immune system diseases, endocrine system diseases, gastrointestinal diseases, and respiratory tract diseases. Data analysis was conducted from February 2019 to December 2020. Main Outcomes and Measures: Publications were characterized by journal, specialty, and study design. These variables were used for comparison of publication numbers. Results: The general medicine journals with the 5 highest journal impact factors (JIF) were New England Journal of Medicine (NEJM; JIF 79.3), Lancet (JIF 53.3), JAMA (JIF 47.7), BMJ (JIF 23.6), and PLOS Medicine (JIF 11.7). Our bibliometric search yielded 3719 publications, of which 1098 (29.5%) were in neurology. Of these 1098 neurology publications, 317 (28.9%) were published in NEJM, 205 (18.7%) in Lancet, 284 (25.9%) in JAMA, 214 (19.5%) in BMJ, and 78 (7.1%) in PLOS Medicine. Randomized clinical trials were the most frequent neurology study type in general medicine journals (519 [47.3%]). The number of publications in each of the other specialties were as follows: immunology, 817; endocrinology, 633; gastroenterology, 353; and pulmonology, 818. Conclusions and Relevance: The results of this study provide some guidance to authors regarding where they may wish to consider submitting their neurology research. Compared with other specialties, neurology-based articles are published more frequently in general medicine journals.

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.

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)0.073
metaresearch head score (Gemma)0.100
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch, Bibliometrics, Scholarly communication, Insufficient payload (model declined to judge)
Consensus categoriesMetaresearch, Bibliometrics
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.247
Threshold uncertainty score0.996

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0730.100
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.7340.981
Science and technology studies0.0000.000
Scholarly communication0.0050.002
Open science0.0050.003
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0140.000

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 head0.542
GPT teacher head0.576
Teacher spread0.034 · 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