A Bibliometric Analysis of an International Research Ethics Trainee Program
Bibliographic record
Abstract
We used bibliometric analysis to evaluate the citations associated with publications by trainees in the Fogarty International Center's International Research Ethics Education and Curriculum Development program. Papers published between 2004 and 2008 were identified for analysis. The outcome measures were total citations, h-index, and i-10. A total of 328 manuscripts were identified, with a yearly average of 66 publications and 363 citations. The median number of citations per paper is 3 (IQR Q1-Q3:6). 12.6% (n = 53) of papers were cited over 10 times and the h-index is 22, indicating that 22 papers had been cited at least 22 times. The data indicate that trainees have been productive and contributed to the scholarly literature. Future studies to benchmark this performance with other bioethics education programs are required to make interpretation of citation analysis more meaningful.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.427 | 0.681 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.002 | 0.001 |
| Bibliometrics | 0.285 | 0.281 |
| Science and technology studies | 0.002 | 0.011 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.006 | 0.002 |
| Research integrity | 0.004 | 0.134 |
| Insufficient payload (model declined to judge) | 0.004 | 0.000 |
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".