ArticleNature methods2012
Predicting microbial distributions in space and time.
Article in Nature methods, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 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
10 citing papers in PubMed.
- Fine-scale genetic structure in rhizosphere microbial communities associated withEcology and evolution · 2023Article
- Distribution pattern of endophytic bacteria and fungi in tea plants.Frontiers in microbiology · 2022Article
- From macro to micro: a combined bioluminescence-fluorescence approach to monitor bacterial localization.Environmental microbiology · 2021Article
- Fine-Scale Patterns of Genetic Structure in the Host PlantPlants (Basel, Switzerland) · 2020Article
- Differentiations of determinants for the community compositions of bacteria, fungi, and nitrogen fixers in various steppes.Ecology and evolution · 2019Article
- Spatial distribution patterns of ammonia-oxidizing archaea abundance in subtropical forests at early and late successional stages.Scientific reports · 2015Article
- Mapping and determinism of soil microbial community distribution across an agricultural landscape.MicrobiologyOpen · 2015Article
- Soil microbial community variation correlates most strongly with plant species identity, followed by soil chemistry, spatial location and plant genus.AoB PLANTS · 2015Article
- Satellite remote sensing data can be used to model marine microbial metabolite turnover.The ISME journal · 2015Article
- Cross-biome metagenomic analyses of soil microbial communities and their functional attributes.Proceedings of the National Academy of Sciences of the United States of America · 2012Article
Corrections and comments
- Comment on
Authors and funding
2 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
PubMed holds no abstract for this paper.
Indexed as
Identifiers
22669651What 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.