Collaboration Coefficient of Researchers of Tehran University of Medical Sciences in International Publications
Bibliographic record
Abstract
Collaboration Coefficient of Researchers of Tehran University of Medical Sciences in International Publications Introduction: Collaboration between researchers at domestic and international level is an extensive form of scientific collaboration emphasizing the importance and benefits of collaborative research. This study was aimed at investigating the rate of collaboration between researchers in Tehran University of Medical Sciences with their counterparts in other countries and institutions in the Web of Science publications. Methods: This was a survey using scientometrics indicators. The instrument of the study was the Web of Science in which the scientific products of Tehran University of Medical Sciences including 5781 records were investigated between 2006 and 2010.To determine the collaboration between researchers, collaboration coefficient formula was used. Results: The authors’ collaboration coefficient mean was 0.64 showing their high interest in collaborative research. Investigation into scientific products showed that the rate of scientific collaboration was lower at the international level (22%) than the domestic level. The results showed that the researchers in Tehran University of Medical Sciences had scientific collaboration with 69 countries. The lowest annual growth rate (3.7) was related to international collaboration. Main partners of Tehran University of Medical Sciences were the USA, UK, and Canada, respectively. Based on the number of co-authors, the highest collaboration rate belonged to the documents with five to eight authors. This rate increased from 33% in 2006 to 45% in 2010. Conclusion: The findings indicated that co-authorship and collaboration in the period studied is on the rise for Tehran University of Medical Sciences suggesting researchers’ interest in scientific collaboration.
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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 | 0.007 | 0.050 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.008 | 0.010 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.000 | 0.002 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.004 | 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".