Evidence map›Paper›PMID 21720391›Full record

ReviewEMBO reports2011

Our microbial selves: what ecology can teach us.

Antonio Gonzalez, Jose C Clemente, Ashley Shade, Jessica L Metcalf, Sejin Song, Bharath Prithiviraj, Brent E Palmer, Rob Knight

Abstract readReview
In one paragraph

Review in EMBO reports, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 38 papers.

0numbers the graph read from it
0cells of the map it votes in
38citing papers in PubMed
–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

38 citing papers in PubMed.

  1. Inter-kingdom communication and the sympoietic way of life.Frontiers in cell and developmental biology · 2024
    Article
  2. Review
  3. Review
  4. Article
  5. When a Neonate Is Born, So Is a Microbiota.Life (Basel, Switzerland) · 2021
    Review
  6. Article
  7. Review
  8. Review
  9. Article
  10. Review
  11. Article
  12. Article
  13. Review
  14. Article
  15. Review
  16. Article
  17. Article
  18. Ancient human microbiomes.Journal of human evolution · 2015
    Article
  19. Review
  20. Article
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

8 authors.

Antonio GonzalezDepartment of Computer Science, University of Colorado at Boulder, Boulder, Colorado 80309, USA.
Jose C Clemente
Ashley Shade
Jessica L Metcalf
Sejin Song
Bharath Prithiviraj
Brent E Palmer
Rob Knight

Funding

Howard Hughes Medical Institute
6 · The paper itself

Abstract

Advances in DNA sequencing have allowed us to characterize microbial communities--including those associated with the human body--at a broader range of spatial and temporal scales than ever before. We can now answer fundamental questions that were previously inaccessible and use well-tested ecological theories to gain insight into changes in the microbiome that are associated with normal development and human disease. Perhaps unsurprisingly, the ecosystems associated with our body follow trends identified in communities at other sites and scales, and thus studies of the microbiome benefit from ecological insight. Here, we assess human microbiome research in the context of ecological principles and models, focusing on diversity, biological drivers of community structure, spatial patterning and temporal dynamics, and suggest key directions for future research that will bring us closer to the goal of building predictive models for personalized medicine.

Indexed as

EcologyEcosystemMetagenomeAnimalsHumansPrecision MedicineResearch

Identifiers

PMID21720391
PMCPMC3147266

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.