Scientometric analysis and perspective of IgY technology study
Bibliographic record
Abstract
Egg yolk immunoglobulin (IgY) is a class of antibody that is produced in birds against pathogens. Therefore, hyperimmunization of birds can produce a specific antibody in the egg against target antigen for a wide range of applications in diagnostic, prophylactic or treatment in human and veterinary medicine which is known today as IgY technology. Until now, the number of articles, patents and clinical studies on IgY technology has increased significantly. Hence, there is a fact that scientometric studies are needed to gain a deeper understanding of the research for the commercialization of IgY technology. Until now, no scientometric research has been directed toward IgY technology. In view of this, we conducted scientometric analysis in the WoS database. A total of 1,029 IgY-related papers were obtained including 981 journal articles and 48 reviews. The visualization of this literature showed an increasing trend in the number of IgY-related publications over the 4 decades, especially after 2008 to 2021. China, the United States, Canada, Japan, and Germany had the largest number of publications, with 220, 148, 91, 76, and 72, respectively. Among all the research institutions, Dalian University of Technology, Alberta University and Northwest Agriculture and Forestry University published the most of the articles, respectively. Among authors, Dr. Xiaoying Zhang had the highest number of publications with 21. The top most cited publications were from Dr. da Silva with 38 citations. Keywords co-occurrence network analysis showed that the correlation between different keywords is large, especially IgY, antibodies and immunoglobulin which is consistent with the rapid increase in the number of publications. Finally, through this data analysis, we hope that our result could help IgY technology to more maturity toward industrialization and commercialization.
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How this classification was reachedexpand
Direct model labels (unvalidated)
Per-model category and study-design labels from the labeling rounds. They are machine output, unvalidated, and the disagreement between models ships as data. No study design here is MEDLINE-validated yet.
| Model arm | Categories | Study design | Confidence |
|---|---|---|---|
| gemma | Bibliometrics Domain: not available · Genre: Empirical About the Canadian research system: no · About a Canadian topic: no | Observational | low |
| gpt | Bibliometrics Domain: not available · Genre: Empirical About the Canadian research system: no · About a Canadian topic: no | Other design | high |
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) | 0.000 | 0.000 |
| Bibliometrics | 0.005 | 0.030 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.001 |
| 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, unvalidatedLabeled directly by 2 models reading the full record.
The models disagree on parts of this classification; every voice is preserved in the section at the end of the page.
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".