ArticleScience advances2022
A better index for analysis of co-occurrence and similarity.
Article in Science advances, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 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
18 citing papers in PubMed.
- Utilization ofQuantitative imaging in medicine and surgery · 2026Article
- Species-Specific Bacterial Associations Emerge From Stochastically Assembled Microbiomes in Northeastern American Fireflies.Molecular ecology · 2026Article
- Transfer potential of F-like plasmids inISME communications · 2026Article
- Assessing vulnerabilities and resilience strategies for communities facing climate change in Androy, Southern Madagascar.Frontiers in public health · 2026Article
- Effects of phylogenetic distance, niche overlap and habitat alteration on spatial co-occurrence patterns in Neotropical bats and birds.Proceedings. Biological sciences · 2025Article
- Metagenomic analysis of heavy water-adapted bacterial communities.Microbial genomics · 2025Article
- Late Quaternary fluctuation in upper range limit of trees shapes endemic flora diversity on the Tibetan Plateau.Nature communications · 2025Article
- Article
- Article
- Forest carbon stocks increase with higher dominance of ectomycorrhizal trees in high latitude forests.Nature communications · 2024Article
- SEraster: a rasterization preprocessing framework for scalable spatial omics data analysis.Bioinformatics (Oxford, England) · 2024Article
- Metatranscriptomic investigation of singlemSystems · 2024Article
- The geographic distribution, and the biotic and abiotic predictors of select zoonotic pathogen detections in Canadian polar bears.Scientific reports · 2024Article
- Noninvasive Risk Prediction Models for Heart Failure Using Proportional Jaccard Indices and Comorbidity Patterns.Reviews in cardiovascular medicine · 2024Article
- Characterization of tumor evolution by functional clonality and phylogenetics in hepatocellular carcinoma.Communications biology · 2024Article
- Spotted Fever Group Rickettsiae in Ticks and Small Mammals from Grassland and Forest Habitats in Central Germany.Pathogens (Basel, Switzerland) · 2023Article
- Hippocampal-cortical coupling differentiates long-term memory processes.Proceedings of the National Academy of Sciences of the United States of America · 2023Article
- Early detection of SARS-CoV-2 variants through dynamic co-mutation network surveillance.Frontiers in public health · 2023Article
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
Scientists often need to know whether pairs of entities tend to occur together or independently. Standard approaches to this issue use co-occurrence indices such as Jaccard, Sørensen-Dice, and Simpson. We show that these indices are sensitive to the prevalences of the entities they describe and that this invalidates their interpretability. We propose an index, α, that is insensitive to prevalences. Published datasets reanalyzed with both α and Jaccard's index (
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.