↓ Skip to main content

Gender Differences in Personality Traits of Software Engineers

Overview of attention for article published in IEEE Transactions on Software Engineering, June 2020
Altmetric Badge

About this Attention Score

  • In the top 5% of all research outputs scored by Altmetric
  • Among the highest-scoring outputs from this source (#44 of 6,373)
  • High Attention Score compared to outputs of the same age (93rd percentile)
  • High Attention Score compared to outputs of the same age and source (85th percentile)

Mentioned by

news
4 news outlets
blogs
1 blog
twitter
1 X user
wikipedia
2 Wikipedia pages

Citations

dimensions_citation
35 Dimensions

Readers on

mendeley
100 Mendeley
You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output. Click here to find out more.
Title
Gender Differences in Personality Traits of Software Engineers
Published in
IEEE Transactions on Software Engineering, June 2020
DOI 10.1109/tse.2020.3003413
Authors

Daniel Russo, Klaas-Jan Stol

X Demographics

X Demographics

The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
As of 1 July 2024, you may notice a temporary increase in the numbers of X profiles with Unknown location. Click here to learn more.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 100 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 100 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 15 15%
Student > Ph. D. Student 8 8%
Student > Doctoral Student 7 7%
Student > Bachelor 7 7%
Lecturer 5 5%
Other 16 16%
Unknown 42 42%
Readers by discipline Count As %
Computer Science 18 18%
Psychology 9 9%
Engineering 6 6%
Social Sciences 5 5%
Business, Management and Accounting 4 4%
Other 11 11%
Unknown 47 47%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 43. 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 14 February 2024.
All research outputs
#970,223
of 25,387,668 outputs
Outputs from IEEE Transactions on Software Engineering
#44
of 6,373 outputs
Outputs of similar age
#29,199
of 434,015 outputs
Outputs of similar age from IEEE Transactions on Software Engineering
#2
of 14 outputs
Altmetric has tracked 25,387,668 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 96th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 6,373 research outputs from this source. They receive a mean Attention Score of 4.9. 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 434,015 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 93% of its contemporaries.
We're also able to compare this research output to 14 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 85% of its contemporaries.