{"id":"W2073023209","doi":"10.1371/journal.pone.0064841","title":"Do Altmetrics Work? Twitter and Ten Other Social Web Services","year":2013,"lang":"en","type":"article","venue":"PLoS ONE","topic":"scientometrics and bibliometrics research","field":"Decision Sciences","cited_by":913,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université du Québec à Montréal; Université de Montréal","funders":"Economic and Social Research Council; Joint Information Systems Committee; Arts and Humanities Research Council; National Science Foundation","keywords":"Altmetrics; Citation; Social media; Metric (unit); Bibliometrics; Mainstream; Computer science; Data science; World Wide Web; Political science; Engineering","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":["metaresearch","bibliometrics"],"consensus_categories":[],"category_scores_codex":[0.01502049,0.001019095,0.000793184,0.01230105,0.001197224,0.006758225,0.001055488,0.001177315,0.009162871],"category_scores_gemma":[0.07777394,0.0003675314,0.001355233,0.01886885,0.001730348,0.01254256,0.003162407,0.001133858,0.003779684],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001681221,"about_ca_system_score_gemma":0.001472546,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004721929,"about_ca_topic_score_gemma":0.005230342,"domain_scores_codex":[0.9888669,0.004938537,0.0009400161,0.0009697906,0.003651893,0.0006329945],"domain_scores_gemma":[0.9196656,0.04361996,0.01936782,0.00374814,0.01032816,0.003270277],"domain_codex":null,"domain_gemma":"evaluation","domain_candidate":"evaluation","domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0007134237,0.0001549853,0.5477033,0.001372817,0.0007137434,0.0001996623,0.00358075,0.0008852009,0.0005302147,0.01519124,0.01645848,0.4124961],"study_design_scores_gemma":[0.0000843557,0.000819428,0.787873,0.002232757,0.0008208101,0.0008785746,0.01418283,0.01298265,0.00208885,0.03364098,0.1440896,0.0003061397],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.734418,0.03699955,0.01429741,0.05066571,0.001962855,0.0002966325,0.01013212,0.002152368,0.1490753],"genre_scores_gemma":[0.9743192,0.005862253,0.009285649,0.001389281,0.001098364,0.0001158385,0.002483532,0.0002423137,0.005203586],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.987699,"threshold_uncertainty_score":0.0794369,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.6312407472470482,"score_gpt":0.4959357951505127,"score_spread":0.1353049520965355,"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."}}