Evidence map›Paper›PMID 23730758›Full record

ArticleEvolution; international journal of organic evolution2013

Multi-level sexual selection: individual and family-level selection for mating success in a historical human population.

Jacob A Moorad

Open access · greenAbstract readHistorical Article
In one paragraph

Article in Evolution; international journal of organic evolution, 2013. 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
3.1field-weighted citation impact, top 9% of its field
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, 25 citations in OpenAlex.

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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

1 author at 1 institution in 1 country.

Jacob A MooradDuke Population Research Institute & Biology Department, 8, Duke University, Durham, North Carolina, USA. jacob.moorad@duke.edu
Duke University · US

Funding

T32 Administrative Supplement for Increase in Postdoc StipendsT32AG000139 · NIA · DUKE UNIVERSITY · PI LYNCH, SCOTT M. · 1987 to 2017
$4.0M
NIA NIH HHS T32 AG000139NIA NIH HHS T32AG000139
6 · The paper itself

Abstract

Precopulatory sexual selection is the association between fitness and traits associated with mate acquisition. Although sexual selection is generally recognized to be a powerful evolutionary force, most investigations are limited to characters belonging to individuals. A broader multilevel perspective acknowledges that individual fitness can be affected by aspects of mating success that are characters of groups, such as families. Parental mating success in polygynous or polyandrous human societies may exemplify traits under group-level sexual selection. Using fitness measures that account for age-structure, I measure multilevel selection for mate number over 55 years in a human population with declining rates of polygyny. Sexual selection had three components: individual-level selection for ever-mating (whether an individual mated) and individual- and family-level selection for polyandry and polygyny. Family- and individual-level selection for polygyny was equally strong, three times stronger than family-level selection for polyandry and more than an order of magnitude stronger than individual-level selection for polyandry. However, individual-level selection for polyandry and polygyny was more effective at explaining relative fitness variance than family-level selection. Selection for ever-mating was the most important source of sexual selection for fitness; variation for ever-mating explained 23% of relative fitness variance.

Indexed as

Selection, GeneticSexual BehaviorAge FactorsFamily CharacteristicsFemaleGenetic FitnessHistory, 19th CenturyHumansMaleMarriageModels, GeneticPopulationReproductive BehaviorUtah

Identifiers

PMID23730758
PMCPMC3675801
OpenAlexW2125672309

What OpenQuestion holds

Textmetadata
LicenceTDM
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.