Evidence map›Paper›PMID 26097188›Full record

ArticleJournal of experimental zoology. Part B, Molecular and developmental evolution2015

Extended evolution: A conceptual framework for integrating regulatory networks and niche construction.

Manfred D Laubichler, Jürgen Renn

Abstract read
In one paragraph

Article in Journal of experimental zoology. Part B, Molecular and developmental evolution, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing 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

13 citing papers in PubMed.

  1. Review
  2. Review
  3. A Proposal for Integrating Theories of Complexity for Better Understanding Global Systemic Risks.Risk analysis : an official publication of the Society for Risk Analysis · 2022
    Article
  4. Biology, geometry and information.Theory in biosciences = Theorie in den Biowissenschaften · 2022
    Article
  5. Review
  6. Biological information.Theory in biosciences = Theorie in den Biowissenschaften · 2020
    Article
  7. Review
  8. The emerging structure of the Extended Evolutionary Synthesis: where does Evo-Devo fit in?Theory in biosciences = Theorie in den Biowissenschaften · 2018
    Article
  9. Article
  10. Review
  11. Article
  12. Article
  13. Extended evolution: A conceptual framework for integrating regulatory networks and niche construction.Journal of experimental zoology. Part B, Molecular and developmental evolution · 2015
    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

2 authors.

Manfred D LaubichlerSchool of Life Sciences, Arizona State University, Tempe, Arizona.
Jürgen RennMax Planck Institute for the History of Science, Berlin, Germany.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This paper introduces a conceptual framework for the evolution of complex systems based on the integration of regulatory network and niche construction theories. It is designed to apply equally to cases of biological, social and cultural evolution. Within the conceptual framework we focus especially on the transformation of complex networks through the linked processes of externalization and internalization of causal factors between regulatory networks and their corresponding niches and argue that these are an important part of evolutionary explanations. This conceptual framework extends previous evolutionary models and focuses on several challenges, such as the path-dependent nature of evolutionary change, the dynamics of evolutionary innovation and the expansion of inheritance systems.

Indexed as

Biological EvolutionCultural EvolutionEcosystemAnimalsHumansSocial Behavior

Identifiers

PMID26097188
PMCPMC4744698

What OpenQuestion holds

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LicenceCC BY-NC-ND
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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.