{"id":"W2169420254","doi":"10.1002/asi.23286","title":"Who reads research articles? An altmetrics analysis of <scp>M</scp>endeley user categories","year":2015,"lang":"en","type":"article","venue":"Journal of the Association for Information Science and Technology","topic":"scientometrics and bibliometrics research","field":"Decision Sciences","cited_by":198,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université du Québec à Montréal; Université de Montréal","funders":"","keywords":"Audience measurement; Citation; Altmetrics; Value (mathematics); Citation analysis; Informetrics; Computer science; Library science; Citation impact; Bibliometrics; Political 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":["metaresearch","bibliometrics"],"consensus_categories":[],"category_scores_codex":[0.01698228,0.0005878838,0.0008238342,0.03666507,0.001437257,0.004412664,0.001163521,0.0008561564,0.007906802],"category_scores_gemma":[0.1571311,0.0002226929,0.0008757447,0.04442553,0.0009054431,0.003971429,0.003719862,0.0007446117,0.002797215],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001486848,"about_ca_system_score_gemma":0.001197517,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005456252,"about_ca_topic_score_gemma":0.005910738,"domain_scores_codex":[0.9749315,0.006605252,0.004225483,0.001688304,0.01106902,0.001480542],"domain_scores_gemma":[0.7296072,0.1630488,0.05310982,0.01127933,0.03836725,0.004587684],"domain_codex":null,"domain_gemma":"evaluation","domain_candidate":"evaluation","domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0004340837,0.0001190196,0.8777363,0.0009170605,0.0003725751,0.0002857218,0.008722912,0.0005608999,0.001238997,0.004085567,0.01795495,0.08757188],"study_design_scores_gemma":[0.00002252369,0.0002044152,0.9391537,0.0002556282,0.0001065006,0.0006338152,0.00928808,0.006225876,0.001569447,0.003005702,0.03942408,0.0001102266],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9150673,0.001429486,0.006080003,0.00102898,0.00009779038,0.000505251,0.04158137,0.00132272,0.03288706],"genre_scores_gemma":[0.9649943,0.000384271,0.009275688,0.0001419258,0.0001534488,0.0007981742,0.01824263,0.0002839675,0.005725694],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9830177,"threshold_uncertainty_score":0.08981198,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.4475581076986923,"score_gpt":0.5463816071200864,"score_spread":0.09882349942139412,"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."}}