ArticleiScience2023
Deconstructing
Article in iScience, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 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
6 citing papers in PubMed.
- A systematic discussion and comparison of the construction methods of synthetic microbial community.Synthetic and systems biotechnology · 2024Review
- Towards a fundamental theory of taxon transitions in microbial communities.Proceedings of the National Academy of Sciences of the United States of America · 2024Article
- Sparsity of higher-order landscape interactions enables learning and prediction for microbiomes.Proceedings of the National Academy of Sciences of the United States of America · 2023Article
- Coexistence in diverse communities with higher-order interactions.Proceedings of the National Academy of Sciences of the United States of America · 2022Article
- Directed Evolution of Microbial Communities.Annual review of biophysics · 2021Review
- Artificially selecting bacterial communities using propagule strategies.Evolution; international journal of organic evolution · 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
A major objective of microbial ecology is to identify how the composition of microbial taxa shapes host phenotypes. However, most studies focus on pairwise interactions and ignore the potentially significant effects of higher-order microbial interactions.Here, we quantify the effects of higher-order interactions among taxa on host infection risk. We apply our approach to an
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.