Evidence map›Paper›PMID 32019441›Full record

ArticleProceedings. Biological sciences2020

Operationalizing evolutionary transitions in individuality.

Yohay Carmel, Ayelet Shavit

Abstract read
In one paragraph

Article in Proceedings. Biological sciences, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing 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

8 citing papers in PubMed.

  1. A New Classification Framework to Understand Evolutionary Transitions in Individuality.BioEssays : news and reviews in molecular, cellular and developmental biology · 2026
    Review
  2. Major transitions in sociocultural evolution.Evolutionary human sciences · 2025
    Article
  3. Article
  4. Article
  5. Human societal development: is it an evolutionary transition in individuality?Philosophical transactions of the Royal Society of London. Series B, Biological sciences · 2023
    Review
  6. Human socio-cultural evolution in light of evolutionary transitions: introduction to the theme issue.Philosophical transactions of the Royal Society of London. Series B, Biological sciences · 2023
    Article
  7. The transition from animal to human culture-simulating the social protocell hypothesis.Philosophical transactions of the Royal Society of London. Series B, Biological sciences · 2023
    Article
  8. 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.

Yohay CarmelFaculty of Civil and Environmental Engineering, Technion-Israel Institute of Technology, Haifa 32000, Israel.
Ayelet ShavitDepartment of Environmental Sciences, Tel Hai College, Tel-Hai 12208, Israel.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Evolutionary transitions in individuality (hereafter, ETIs), such as the transition to multi-cellularity and the transition to social colonies, have been at the centre of evolutionary research, but only few attempts were made to systematically operationalize this concept. Here, we devise a set of four indicators intended to assess the change in complexity during ETIs: system size, inseparability, reproductive specialization and non-reproductive specialization. We then conduct a quantitative comparison across multiple taxa and ETIs. Our analysis reveals that inseparability has a crucial role in the process; it seems irreversible and may mark the point where a group of individuals becomes a new individual at a higher hierarchical level. Interestingly, we find that disparate groups demonstrate a similar pattern of progression along ETIs.

Indexed as

Biological EvolutionIndividualityAnimalsReproductioneusocialitymajor evolutionary transitionsmulti-cellularity

Identifiers

PMID32019441
PMCPMC7031674

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.