Bibliometric analysis of research on thyroid ultrasonography
Bibliographic record
Abstract
Background: The incidence of thyroid diseases has increased, which may be partly related to the widespread use of thyroid ultrasound resulting in a large number of asymptomatic thyroid nodules to be found. Research has found that many thyroid ultrasound examinations are completely avoidable. However, the purpose of the present study was to use bibliometrics to analyze the relevant research literature of thyroid ultrasound and understand the overall status of the current research in this field. Methods: We searched the Science Citation Index Expanded (SCI-E) database in the Web of Science Core Collection. Search terms were “ultrasonography” and “thyroid gland”. The date range for the document search was from 1900 to May 10, 2021. Export the full record of the search results and the references in txt. format, and use the CiteSpace software to analyze the annual publication of literatures, the distribution of countries and institutions where the literatures came from, the distribution of journals and authors. The keywords used in the literature were also analyzed. Results: A total of 1,241 publications were included in the results, and the frequency of citations was 27,149. The top 5 countries for the number of publications published were the USA, Turkey, Italy, South Korea, and China; the top 5 countries by centrality were the USA, Germany, Italy, Canada, and China. The number of institution-published papers was generally low, and the centrality score was low. Research in this field was relatively scattered among institutions and cooperation between institutions was few. There was little collaboration between authors from different institutions. The most cited authors were mainly from European and North American countries. Journals, such as Thyroid, Journal of Clinical Ultrasound, and Journal of Endocrinological Investigation, had great influence in this field. Keyword analysis results showed that research is mainly focused on the differentiation of benign and malignant thyroid nodules. Conclusions: There was an increase in thyroid ultrasound research, but there was few cooperation exist between institutions. The main research direction was the differentiation of benign and malignant thyroid nodules.
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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.094 | 0.265 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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".