Evidence map›Paper›PMID 34727284›Full record

ArticleArchives of sexual behavior2021

Trait/Financial Information of Potential Male Mate Eliminates Mate-Choice Copying by Women: Trade-Off Between Social Information and Personal Information in Mate Selection.

Xinge Liu, Cuihu Zhang, Xinlei Wang, Xinran Feng, Junhao Pan, Guomei Zhou

Abstract read
PubMed Publisher
In one paragraph

Article in Archives of sexual behavior, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact, top 81% 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

1 citing paper in PubMed, 3 citations in OpenAlex.

  1. 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

6 authors at 1 institution in 1 country.

Xinge Liu *Department of Psychology, Sun Yat-Sen University, Guangzhou, 510006, China.
Cuihu Zhang *Department of Psychology, Sun Yat-Sen University, Guangzhou, 510006, China.
Xinlei Wang *Department of Psychology, Sun Yat-Sen University, Guangzhou, 510006, China.
Xinran Feng *Department of Psychology, Sun Yat-Sen University, Guangzhou, 510006, China.
Junhao PanDepartment of Psychology, Sun Yat-Sen University, Guangzhou, 510006, China.
Guomei ZhouDepartment of Psychology, Sun Yat-Sen University, Guangzhou, 510006, China. zhougm@mail.sysu.edu.cn.ORCID 0000-0001-9377-9663
Sun Yat-sen University · CN

Funding

National Natural Science Foundation of China 31771208
6 · The paper itself

Abstract

Mate-choice copying occurs when people rely on the mate choices of others (social information) to inform their own mate decisions. The present study investigated women's strategic trade-off between such social learning and using the personal information of a potential mate. We conducted two experiments to investigate how mate-choice copying was affected by the personal information (e.g., trait/financial information, negative/positive valence of this information, and attractiveness) of a potential male mate in short-/long-term mate selection. The results demonstrated that when women had no trait/financial information other than photos of potential mates, they showed mate-choice copying, but when women obtained personality trait or financial situation information (no matter negative or positive) of a potential mate, their mate-choice copying disappeared; this effect was only observed for low-attractiveness and long-term potential partners. These results demonstrated human social learning strategies in mate selection through a trade-off between social information and personal information.

Indexed as

MarriageSocial LearningChoice BehaviorFemaleHumansMaleReproductionAttractivenessMate-choice copyingMate selectionPersonal informationSocial informationSocial learning

Identifiers

PMID34727284
OpenAlexW3211046695

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.