Evidence map›Paper›PMID 22796884›Full record

ReviewNature reviews. Microbiology2012

Microbial interactions: from networks to models.

Karoline Faust, Jeroen Raes

Abstract readReview
PubMed Publisher
In one paragraph

Review in Nature reviews. Microbiology, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1,473 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
1,473citing papers in PubMed, 1 pooled it
–field-weighted citation impact
1 · What the graph read from 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.

2 · The registry

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.

3 · Its place in the literature

Who cites it

1,473 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Trial
  3. Effect ofNutrients · 2026
    Trial
  4. Prebiotic Administration to Chronic Kidney Disease Patients Modifies Their Fecal Microbiome and Host Metabolism.Journal of renal nutrition : the official journal of the Council on Renal Nutrition of the National Kidney Foundation · 2026
    Trial
  5. Review
  6. Article
  7. Article
  8. Article
  9. Advances in causal discovery methods for ecological time series.Biological reviews of the Cambridge Philosophical Society · 2026
    Review
  10. Article
  11. Article
  12. Fungal Needle Communities andEcology and evolution · 2026
    Article
  13. Article
  14. Article
  15. Article
  16. Unlocking the power ofmSystems · 2026
    Article
  17. Article
  18. Article
  19. Article
  20. Article

1,413 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

2 authors.

Karoline FaustDepartment of Structural Biology, Flemish Institute for Biotechnology (VIB), Belgium.
Jeroen Raes

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Metagenomics and 16S pyrosequencing have enabled the study of ecosystem structure and dynamics to great depth and accuracy. Co-occurrence and correlation patterns found in these data sets are increasingly used for the prediction of species interactions in environments ranging from the oceans to the human microbiome. In addition, parallelized co-culture assays and combinatorial labelling experiments allow high-throughput discovery of cooperative and competitive relationships between species. In this Review, we describe how these techniques are opening the way towards global ecosystem network prediction and the development of ecosystem-wide dynamic models.

Indexed as

BiotaMicrobial InteractionsHumansMetagenomics

Identifiers

PMID22796884

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

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.