Evidence map›Paper›PMID 27739447›Full record

ArticleScientific reports2016

A Paradoxical Evolutionary Mechanism in Stochastically Switching Environments.

Kang Hao Cheong, Zong Xuan Tan, Neng-Gang Xie, Michael C Jones

Abstract read
In one paragraph

Article in Scientific reports, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing 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

10 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Review
  5. Generalized Solutions of Parrondo's Games.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2020
    Article
  6. Article
  7. Predator Dormancy is a Stable Adaptive Strategy due to Parrondo's Paradox.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2020
    Article
  8. Reply to Cheong et al.: Unicellular survival precludes Parrondo's paradox.Proceedings of the National Academy of Sciences of the United States of America · 2018
    Article
  9. Article
  10. 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

4 authors.

Kang Hao CheongEngineering Cluster, Singapore Institute of Technology, 10 Dover Drive, Singapore 138683, Singapore.
Zong Xuan TanYale University, New Haven, CT 06520, United States.
Neng-Gang XieDepartment of Mechanical Engineering, Anhui University of Technology, Anhui Ma'anshan, 243002, China.
Michael C Jones

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Organisms with environmental sensors that guide survival are considered more likely to be favored by natural selection if they possess more accurate sensors. In this paper, we develop a theoretical model which shows that under certain conditions of environmental stochasticity, selection actually favors sensors of lower accuracy. An analogy between this counter-intuitive phenomenon and the well-known Parrondo's paradox is suggested.

Indexed as

Biological EvolutionEnvironmentGame TheoryModels, TheoreticalSelection, GeneticAnimalsComputer SimulationHumans

Identifiers

PMID27739447
PMCPMC5064378

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.