Is There an Association between STARD Statement Adherence and Citation Rate?
Bibliographic record
Abstract
Purpose To determine if adherence to the Standards for Reporting of Diagnostic Accuracy (STARD) is associated with postpublication citation rates. Materials and Methods A comprehensive search of PubMed, EMBASE, and Cochrane Library databases was performed to identify published articles that have evaluated adherence of diagnostic accuracy studies to the STARD statement. These were included if the number of STARD items reported ("STARD result") could be obtained for each evaluated study. The date of publication, journal impact factor, and citation rate (citations per day) were extracted for the diagnostic accuracy studies. Univariate correlations were performed to identify any association between STARD result, impact factor, and citation rate. Multivariate regression analysis was performed to explore the effect of impact factor on postpublication citation rates. Results The authors were able to obtain the STARD results for 1002 "original" diagnostic accuracy studies from eight different "STARD evaluation" articles. The median impact factor was 3.97 (interquartile range [IQR]: 2.32-6.21), the median STARD result was 15 of 25 items (IQR: 12-18), and the median citation rate was 0.007 citations per day (IQR: 0.0032-0.017). The authors identified a weak positive correlation between STARD result and citation rate (r = 0.096; 95% confidence interval [CI]: 0.034, 0.157), a moderate positive correlation between impact factor and citation rate (r = 0.58; 95% CI: 0.535, 0.617), and a weak positive correlation between impact factor and STARD result (r = 0.13; 95% CI: 0.064, 0.186). Multivariate analysis accounting for journal clustering effects revealed that, when impact factor is partialed out, the positive correlation between citation rate and STARD result does not persist (r = 0.029; 95% CI: -0.033, 0.091). Conclusion There is a positive correlation between completeness of reporting, as evaluated with STARD, and citation rate as well as impact factor. When adjusted for impact factor, the positive correlation between completeness of reporting and citation rate does not persist. (©) RSNA, 2016 Online supplemental material is available for this article.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.058 | 0.010 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.007 | 0.002 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; both teacher heads agree on what is shown here.
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".