ArticleAdvances in bioinformatics2018
Creation of Individual Scientific Concept-Centered Semantic Maps Based on Automated Text-Mining Analysis of PubMed.
Article in Advances in bioinformatics, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
8 citing papers in PubMed.
- Food for Thought: Proteomics for Meat Safety.Life (Basel, Switzerland) · 2023Review
- A Recent Ten-Year Perspective: Bile Acid Metabolism and Signaling.Molecules (Basel, Switzerland) · 2022Review
- Connections and Biases in Health Equity and Culture Research: A Semantic Network Analysis.Frontiers in public health · 2022Article
- Sports Nutrition: Diets, Selection Factors, Recommendations.Nutrients · 2021Review
- ScanBious: Survey for Obesity Genes Using PubMed Abstracts and DisGeNET.Journal of personalized medicine · 2021Article
- Does Proteomic Mirror Reflect Clinical Characteristics of Obesity?Journal of personalized medicine · 2021Article
- Tackling Research Inefficiency in Degenerative Cervical Myelopathy: Illustrative Review.JMIR research protocols · 2020Article
- PDC - a probabilistic distributional clustering algorithm: a case study on suicide articles in PubMed.AMIA Joint Summits on Translational Science proceedings. AMIA Joint Summits on Translational Science · 2020Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Concept-centered semantic maps were created based on a text-mining analysis of PubMed using the BiblioEngine_v2018 software. The objects ("concepts") of a semantic map can be MeSH-terms or other terms (names of proteins, diseases, chemical compounds, etc.) structured in the form of controlled vocabularies. The edges between the two objects were automatically calculated based on the index of semantic similarity, which is proportional to the number of publications related to both objects simultaneously. On the one hand, an individual semantic map created based on the already published papers allows us to trace scientific inquiry. On the other hand, a prospective analysis based on the study of PubMed search history enables us to determine the possible directions for future research.
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.