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Table_2_Emerging trends in epigenetic and childhood trauma: Bibliometrics and visual analysis.DOCX

2022· dataset· en· W6927541675 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

aboutThe title or abstract carries a Canadian signal from the geographic lexicon.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenueFigshare · 2022
Typedataset
Languageen
FieldArts and Humanities
TopicMemory, History, Trauma, Identity
Canadian institutionsnot available
Fundersnot available
KeywordsEpigeneticsBibliometricsDNA methylationChildhood cancerConfoundingTwin studyFKBP5

Abstract

fetched live from OpenAlex

Background<p>The epigenetic study of childhood trauma has become a valuable field. However, the evolution and emerging trends in epigenetics and childhood trauma have not been studied by bibliometric methods.</p>Objective<p>This study aims to evaluate status of epigenetic studies in childhood trauma and reveal the research trends based on bibliometrics.</p>Methods<p>A total of 1,151 publications related to childhood trauma and epigenetics published between 2000 and 2021 were retrieved from the Web of Science Core Collection (WoSCC). CiteSpace (5.8. R 3) was used to implement bibliometric analysis and visualization.</p>Results<p>Since 2010, the number of related publications has expanded quickly. The United States and McGill University are the most influential countries and research institutes, respectively. Elisabeth Binder is a leading researcher in childhood trauma and epigenetic-related research. Biological Psychiatry is probably the most popular journal. In addition, comprehensive keyword analysis revealed that “glucocorticoid receptor,” “brain development,” “epigenetic regulation,” “depression,” “posttraumatic stress disorder,” “maternal care,” “histone acetylation,” “telomere length,” “microRNA,” and “anxiety” reflect the latest research trends in the field. A comprehensive reference analysis demonstrated NR3C1 gene methylation, FKBP5 DNA methylation, BDNF DNA methylation, and KITLG methylation have been hot spots in epigenetic studies in the field of childhood trauma in recent years. Notably, the relationship between childhood adversity and NR3C1 gene methylation levels remains unresolved and requires well-designed studies with control for more confounding factors.</p>Conclusion<p>As the best of our knowledge, this is the first bibliometric analysis of the association between childhood trauma and epigenetics. Our analysis of the literature suggests that childhood trauma may induce depression, anxiety, and post-traumatic stress disorder through epigenetic regulation of glucocorticoid receptor expression and brain development. The hypothalamic-pituitary-adrenal axis is the key points of epigenetic research. The current researches focus on NR3C1 gene methylation, FKBP5 DNA methylation, BDNF DNA methylation, and KITLG methylation. These results provide a guiding perspective for the study of epigenetic effects of childhood trauma, and help researchers choose future research directions based on current keywords.</p>

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.

Full frame distilled prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Bibliometrics, Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Dataset · Consensus signal: Dataset
Teacher disagreement score0.907
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0230.006
Science and technology studies0.0010.000
Scholarly communication0.0010.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.9070.000

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.

Opus teacher head0.049
GPT teacher head0.281
Teacher spread0.232 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it