Citation analysis of the highest-cited articles on developmental dysplasia of the hip
Bibliographic record
Abstract
The purpose of this study is to determine the highest-cited articles on developmental dysplasia of the hip (DDH) and analyze their bibliometric characteristics. We searched the Web of Science (WoS) for articles with the highest number of citations on DDH and recorded their number of citations in WoS, Scopus, and Google Scholar (GS). We ranked and selected the top 100 cited articles. The average number of citations in WoS was 148 (range 66-638). The most-cited article in all databases was Crowe's total hip replacement cohort on DDH. The Journal of Bone and Joint Surgery American Volume (n = 35) had the most articles in the list, and the United States (n = 46) contributed with the most articles. The University of Bern had the most publications (n = 8). Most studies were therapeutic (n = 45) or diagnostic (n = 29). Hip preservation and arthroplasty investigations have had an increment in citations in recent decades. We provide an historical perspective on research conducted on DDH. A majority of the articles were observational and therapeutic. All databases had good correlation in the number of citations.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.006 | 0.043 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.002 | 0.002 |
| Bibliometrics | 0.139 | 0.130 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.004 | 0.002 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.000 |
| Insufficient payload (model declined to judge) | 0.008 | 0.001 |
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; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".