Evidence map›Paper›PMID 28559312›Full record

ArticleProceedings of the National Academy of Sciences of the United States of America2017

Synchrony affects Taylor's law in theory and data.

Daniel C Reuman, Lei Zhao, Lawrence W Sheppard, Philip C Reid, Joel E Cohen

Abstract read
In one paragraph

Article in Proceedings of the National Academy of Sciences of the United States of America, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing 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

9 citing papers in PubMed.

  1. Article
  2. Power law analysis of the human milk microbiome.Archives of microbiology · 2022
    Article
  3. Article
  4. Article
  5. Spatial heterogeneity analysis of the human virome with Taylor's power law.Computational and structural biotechnology journal · 2021
    Article
  6. Article
  7. Article
  8. Article
  9. Unfinished synchrony.Proceedings of the National Academy of Sciences of the United States of America · 2017
    Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

5 authors.

Daniel C ReumanDepartment of Ecology and Evolutionary Biology, University of Kansas, Lawrence, KS 66045; reuman@ku.edu cohen@rockefeller.edu.
Lei ZhaoDepartment of Ecology and Evolutionary Biology, University of Kansas, Lawrence, KS 66045.
Lawrence W SheppardDepartment of Ecology and Evolutionary Biology, University of Kansas, Lawrence, KS 66045.
Philip C ReidThe Laboratory, Sir Alister Hardy Foundation for Ocean Science, Plymouth PL1 2PB, United Kingdom.
Joel E CohenLaboratory of Populations, Rockefeller University, New York, NY 10065; reuman@ku.edu cohen@rockefeller.edu.ORCID 0000-0002-9746-6725

Funding

Biotechnology and Biological Sciences Research Council
6 · The paper itself

Abstract

Taylor's law (TL) is a widely observed empirical pattern that relates the variances to the means of groups of nonnegative measurements via an approximate power law: variance

Indexed as

aphidcorrelationfluctuation scalingmean variance scalingMoran effect

Identifiers

PMID28559312
PMCPMC5495260

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.