↓ Skip to main content

Investigating technical and non-technical factors influencing modern code review

Overview of attention for article published in Empirical Software Engineering, March 2015
Altmetric Badge

About this Attention Score

  • Above-average Attention Score compared to outputs of the same age (64th percentile)
  • Good Attention Score compared to outputs of the same age and source (75th percentile)

Mentioned by

patent
1 patent
facebook
1 Facebook page

Citations

dimensions_citation
74 Dimensions

Readers on

mendeley
65 Mendeley
Title
Investigating technical and non-technical factors influencing modern code review
Published in
Empirical Software Engineering, March 2015
DOI 10.1007/s10664-015-9366-8
Authors

Olga Baysal, Oleksii Kononenko, Reid Holmes, Michael W. Godfrey

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 65 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
New Zealand 1 2%
Canada 1 2%
Unknown 63 97%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 19 29%
Student > Master 17 26%
Student > Doctoral Student 5 8%
Student > Bachelor 4 6%
Other 3 5%
Other 5 8%
Unknown 12 18%
Readers by discipline Count As %
Computer Science 39 60%
Engineering 4 6%
Business, Management and Accounting 3 5%
Materials Science 1 2%
Social Sciences 1 2%
Other 0 0%
Unknown 17 26%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 4. 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 26 January 2021.
All research outputs
#8,595,726
of 26,017,215 outputs
Outputs from Empirical Software Engineering
#302
of 804 outputs
Outputs of similar age
#97,066
of 283,112 outputs
Outputs of similar age from Empirical Software Engineering
#6
of 24 outputs
Altmetric has tracked 26,017,215 research outputs across all sources so far. This one has received more attention than most of these and is in the 66th percentile.
So far Altmetric has tracked 804 research outputs from this source. They receive a mean Attention Score of 4.9. This one has gotten more attention than average, scoring higher than 61% 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 283,112 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 64% of its contemporaries.
We're also able to compare this research output to 24 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 75% of its contemporaries.