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About this Attention Score

  • In the top 5% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (99th percentile)
  • High Attention Score compared to outputs of the same age and source (96th percentile)

Mentioned by

news
5 news outlets
blogs
1 blog
twitter
265 X users
patent
1 patent
facebook
6 Facebook pages
googleplus
7 Google+ users
reddit
4 Redditors
bluesky
1 Bluesky user
podcasts
1 podcast

Readers on

mendeley
208 Mendeley
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Article details
Title
Happy software developers solve problems better: psychological measurements in empirical software engineering
Published in
PeerJ, March 2014
DOI 10.7717/peerj.289
Pubmed ID
Authors

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Timeline Attention over time Attention Score history
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Activity
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X Demographics

X Demographics

The data shown below were collected from the profiles of 265 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley demographics

Mendeley demographics

The data shown below were compiled from readership statistics for 208 Mendeley readers of this research output. Click here to see the associated Mendeley record.
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Geographical breakdown

Geographical breakdown
Country Count As %
United Kingdom 3 1%
United States 2 <1%
Japan 2 <1%
Sweden 1 <1%
Malaysia 1 <1%
Italy 1 <1%
France 1 <1%
Germany 1 <1%
Switzerland 1 <1%
Other 1 <1%
Unknown 194 93%

Demographic breakdown

Readers by professional status
Readers by professional status Count As %
Student > Ph. D. Student 33 16%
Student > Master 31 15%
Student > Bachelor 20 10%
Researcher 19 9%
Student > Doctoral Student 12 6%
Other 32 15%
Unknown 61 29%
Readers by discipline
Readers by discipline Count As %
Computer Science 74 36%
Psychology 17 8%
Business, Management and Accounting 13 6%
Engineering 12 6%
Economics, Econometrics and Finance 4 2%
Other 18 9%
Unknown 70 34%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 290. 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 30 January 2026.
All research outputs
#153,263
of 34,421,733 outputs
Outputs from PeerJ
#169
of 16,835 outputs
Outputs of similar age
#1,036
of 265,490 outputs
Outputs of similar age from PeerJ
#4
of 125 outputs
Altmetric has tracked 34,421,733 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 16,835 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 17.3. This one has done particularly well, scoring higher than 98% 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 265,490 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 125 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 96% of its contemporaries.