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Gendered Pathways: How Mathematics Ability Beliefs Shape Secondary and Postsecondary Course and Degree Field Choices

Overview of attention for article published in Frontiers in Psychology, April 2017
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About this Attention Score

  • In the top 5% of all research outputs scored by Altmetric
  • Among the highest-scoring outputs from this source (#41 of 13,918)
  • High Attention Score compared to outputs of the same age (99th percentile)
  • High Attention Score compared to outputs of the same age and source (99th percentile)

Mentioned by

news
30 news outlets
blogs
6 blogs
twitter
157 tweeters
facebook
6 Facebook pages
googleplus
2 Google+ users
reddit
3 Redditors
video
1 video uploader

Citations

dimensions_citation
13 Dimensions

Readers on

mendeley
87 Mendeley
Title
Gendered Pathways: How Mathematics Ability Beliefs Shape Secondary and Postsecondary Course and Degree Field Choices
Published in
Frontiers in Psychology, April 2017
DOI 10.3389/fpsyg.2017.00386
Pubmed ID
Authors

Lara Perez-Felkner, Samantha Nix, Kirby Thomas

Abstract

Do mathematics ability beliefs explain gender gaps in the physical science, engineering, mathematics, and computer science fields (PEMC) and other science fields? We leverage U.S. nationally representative longitudinal data to estimate gendered differences in girls' and boys' perceptions of mathematics ability with the most difficult or challenging material. Our analyses examine the potentially interacting effects of gender and these ability beliefs on students' pathways to scientific careers. Specifically, we study how beliefs about ability with challenging mathematics influence girls' and boys' choices to pursue PEMC degrees, evaluating educational milestones over a 6-year period: advanced science course completion in secondary school and postsecondary major retention and selection. Our findings indicate even at the same levels of observed ability, girls' mathematics ability beliefs under challenge are markedly lower than those of boys. These beliefs matter over time, potentially tripling girls' chances of majoring in PEMC sciences, over and above biological science fields, all else being equal. Implications and potential interventions are discussed.

Twitter Demographics

The data shown below were collected from the profiles of 157 tweeters who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 87 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 1 1%
Unknown 86 99%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 18 21%
Student > Master 14 16%
Student > Doctoral Student 9 10%
Professor > Associate Professor 7 8%
Student > Bachelor 7 8%
Other 21 24%
Unknown 11 13%
Readers by discipline Count As %
Social Sciences 21 24%
Psychology 12 14%
Economics, Econometrics and Finance 11 13%
Biochemistry, Genetics and Molecular Biology 4 5%
Computer Science 4 5%
Other 21 24%
Unknown 14 16%

Attention Score in Context

This research output has an Altmetric Attention Score of 388. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 02 December 2019.
All research outputs
#28,718
of 13,995,512 outputs
Outputs from Frontiers in Psychology
#41
of 13,918 outputs
Outputs of similar age
#1,517
of 258,502 outputs
Outputs of similar age from Frontiers in Psychology
#3
of 336 outputs
Altmetric has tracked 13,995,512 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 99th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 13,918 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 11.9. This one has done particularly well, scoring higher than 99% of its peers.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 258,502 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 99% of its contemporaries.
We're also able to compare this research output to 336 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 99% of its contemporaries.