A bibliometric analysis by geographic area of published research in several biomedical fields, 1995-2003
Bibliographic record
Abstract
We summarized the findings of several studies of ours to compare the quantity and quality of published research from around the world for the years 1995 to 2003. We evaluated the number of articles published and their mean journal impact factor. We also studied the research productivity of various areas adjusted for gross domestic product (GDP) and population. We found that Western Europe leads the world in published research on infectious diseases-microbiology (82,342 articles [38.8%]) and in cardiopulmonary medicine (67,783 articles [39.5%]), whereas the United States ranks first in the fields of preventive medicine, public health and epidemiology both in quantity (23,918 articles [49.1%]) and quality of published papers. However, after adjustments for GDP, Canada ranked first, with the United States and Oceania following closely behind. All of the developing regions had only small research contributions in all of the biomedical fields examined.
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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 | 0.121 | 0.167 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.822 | 0.953 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.003 | 0.001 |
| Open science | 0.003 | 0.000 |
| Research integrity | 0.001 | 0.003 |
| Insufficient payload (model declined to judge) | 0.008 | 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".