{"id":"W4362524064","doi":"10.1136/bmjgh-2022-011514","title":"The impact of COVID-19 on global health journals: an analysis of impact factor and publication trends","year":2023,"lang":"en","type":"article","venue":"BMJ Global Health","topic":"scientometrics and bibliometrics research","field":"Decision Sciences","cited_by":31,"is_retracted":false,"has_abstract":true,"ca_institutions":"Lakehead University","funders":"Wuhan University","keywords":"Coronavirus disease 2019 (COVID-19); Impact factor; Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2); 2019-20 coronavirus outbreak; Web of science; Bibliometrics; Outbreak; Medicine; Demography; Geography; Library science; Political science; Meta-analysis; Internal medicine; Sociology; Virology; Computer science","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaresearch","bibliometrics","scholarly_communication"],"consensus_categories":["metaresearch","bibliometrics"],"category_scores_codex":[0.0405415,0.000187212,0.0008018963,0.02754359,0.0005632199,0.001138929,0.001589856,0.00009499749,0.0002878644],"category_scores_gemma":[0.02153039,0.00009752432,0.0005077908,0.3540389,0.000205456,0.0004219309,0.0002786676,0.0001589734,0.00001979911],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002833158,"about_ca_system_score_gemma":0.005572095,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02069739,"about_ca_topic_score_gemma":0.001967033,"domain_scores_codex":[0.9883905,0.001294116,0.001646205,0.0006415956,0.007061246,0.0009663432],"domain_scores_gemma":[0.990506,0.002512292,0.001650029,0.001058244,0.001906396,0.002367041],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.0001049708,0.0001272573,0.4576343,0.000006310693,0.0001387533,9.602677e-7,0.0001192387,0.001333555,0.000001409385,0.0007502073,0.05305355,0.4867294],"study_design_scores_gemma":[0.0003300027,0.001639146,0.9563625,0.000005416342,0.000009193708,0.000006333655,0.0004167686,0.0377556,5.40755e-7,0.002354271,0.001045736,0.00007446964],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9689234,0.002169466,0.001147638,0.02069806,0.0001505188,0.0004194733,0.005751404,0.00003721838,0.0007027471],"genre_scores_gemma":[0.9976557,0.001770995,0.00005639062,0.0003377441,0.00003986773,0.000004853279,0.0000569671,0.000004462915,0.00007295232],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4987282,"threshold_uncertainty_score":0.999898,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.7199216220179786,"score_gpt":0.746428607096397,"score_spread":0.02650698507841842,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}