Investigation of Global Trends in Publications on Syphilis with Bibliometrics
Bibliographic record
Abstract
Syphilis is a primarily sexually transmitted disease that has gained importance again due to the increasing number of cases worldwide. This study aimed to investigate at how scientific output on Syphilis has changed since 1970 globally. This bibliometric study was performed in the Clarivate Analytics’ Web of Science (Wos) database by searching the ‘Treponema pallidum’ or ‘Treponema pallidum subsp. pallidum’ or ‘Syphilis’ keywords. The research only included documents categorized as 'journal article' in the Wos database; reviews, letters, and editorials were excluded. Analysis was performed on articles published between 1970-2021. We compared the total global output relating to syphilis. We then looked at the contributions of countries, organizations, authors to the global output. Based on the search method utilized in this study, the findings revealed that 6747 articles on syphilis were indexed in the Wos database between 1970 and 2021. This articles were 96790 times cited (14.35 times average per item), the H-Index was 101. 57.329% of them were published after 2000s. Since 2015, the number of articles has never dropped below 200. The top cited articles were published in recent 20 years. The USA (35.230%) published most of the articles on syphilis. The People's Republic of China, England, the United Socialist Soviet Republic, Brazil, France, Australia, Canada, and Germany were also 10 ranked countries. The articles were from 181 countries globally. Publications and organizations providing financial support were from developed countries. However, researchers in developing countries should be supported to reduce the spread and mortality/morbidity of syphilis.
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 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 | 0.045 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.002 |
| Bibliometrics | 0.120 | 0.180 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.005 | 0.004 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| 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".