ArticleNature communications2019
Quantifying the impact of public omics data.
Article in Nature communications, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 63 papers, 1 of them a synthesis that pooled it.
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
63 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Pooled it
- A multivalent docking platform and Rcn1-mediated inhibition control the extent of calcineurin recruitment to the cell division site for the dephosphorylation of multiple cytokinetic proteins.bioRxiv : the preprint server for biology · 2026Article
- Multidisciplinary Delphi consensus statement on minimal standards for clinical metadata and end points in microbiome studies.Nature reviews. Gastroenterology & hepatology · 2026Review
- VITAGRAPH: building a knowledge graph for biologically relevant learning tasks.Scientific data · 2026Article
- Why biology must prioritize data reanalysis in the era of artificial intelligence.PLoS biology · 2026Article
- Stable isotope labelling mass spectrometry analysis of isolated mouse sperm.Biology of reproduction · 2026Article
- Using semantic search to find publicly available gene-expression datasets.Bioinformatics (Oxford, England) · 2026Article
- Unlocking the Next Decade of Proteomics with Standardized, Structured Metadata.Journal of proteome research · 2026Review
- Development of Potential Pharmacological Targets to Normalize Gene Expression in Islets of Type 2 Diabetic Patients.Current medicinal chemistry · 2026Article
- Opportunities and Challenges of Multiomics for Discovery and Monitoring of Human Pathogens.Environment & health (Washington, D.C.) · 2025Review
- Gut microbiota and tuberculosis.iMeta · 2025Review
- Pathway Analysis Interpretation in the Multi-Omic Era.Biotech (Basel (Switzerland)) · 2025Review
- EBI Search: providing discovery tools for biological metadata in 2025.Nucleic acids research · 2025Article
- Transcriptomic-based analysis of endometrial tissues from adenomyosis patients reveals significant inflammation biomarkers: A bioinformatics study.International journal of reproductive biomedicine · 2025Article
- Article
- The PRIDE database at 20 years: 2025 update.Nucleic acids research · 2025Article
- Data accessibility in the chemical sciences: an analysis of recent practice in organic chemistry journals.Beilstein journal of organic chemistry · 2025Article
- MANOCCA: a robust and computationally efficient test of covariance in high-dimension multivariate omics data.Briefings in bioinformatics · 2024Article
- Article
- Exploiting integrative metabolomics to study host-parasite interactions in Plasmodium infections.Trends in parasitology · 2024Review
3 more citing papers are in PubMed but not listed here.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
11 authors.
Funding
Abstract
The amount of omics data in the public domain is increasing every year. Modern science has become a data-intensive discipline. Innovative solutions for data management, data sharing, and for discovering novel datasets are therefore increasingly required. In 2016, we released the first version of the Omics Discovery Index (OmicsDI) as a light-weight system to aggregate datasets across multiple public omics data resources. OmicsDI aggregates genomics, transcriptomics, proteomics, metabolomics and multiomics datasets, as well as computational models of biological processes. Here, we propose a set of novel metrics to quantify the attention and impact of biomedical datasets. A complete framework (now integrated into OmicsDI) has been implemented in order to provide and evaluate those metrics. Finally, we propose a set of recommendations for authors, journals and data resources to promote an optimal quantification of the impact of datasets.
Indexed as
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.