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Studying high impact fix-inducing changes

Overview of attention for article published in Empirical Software Engineering, February 2015
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Mentioned by

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1 Facebook page

Citations

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34 Dimensions

Readers on

mendeley
51 Mendeley
Title
Studying high impact fix-inducing changes
Published in
Empirical Software Engineering, February 2015
DOI 10.1007/s10664-015-9370-z
Authors

Ayse Tosun Misirli, Emad Shihab, Yasukata Kamei

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 51 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
India 1 2%
Unknown 50 98%

Demographic breakdown

Readers by professional status Count As %
Student > Master 15 29%
Student > Ph. D. Student 14 27%
Student > Doctoral Student 3 6%
Student > Bachelor 3 6%
Lecturer 3 6%
Other 8 16%
Unknown 5 10%
Readers by discipline Count As %
Computer Science 33 65%
Social Sciences 3 6%
Engineering 3 6%
Materials Science 2 4%
Decision Sciences 1 2%
Other 0 0%
Unknown 9 18%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. 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 25 April 2016.
All research outputs
#20,322,106
of 22,865,319 outputs
Outputs from Empirical Software Engineering
#624
of 705 outputs
Outputs of similar age
#215,072
of 255,253 outputs
Outputs of similar age from Empirical Software Engineering
#9
of 20 outputs
Altmetric has tracked 22,865,319 research outputs across all sources so far. This one is in the 1st percentile – i.e., 1% of other outputs scored the same or lower than it.
So far Altmetric has tracked 705 research outputs from this source. They receive a mean Attention Score of 4.8. This one is in the 1st percentile – i.e., 1% of its peers scored the same or lower than it.
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 255,253 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 20 others from the same source and published within six weeks on either side of this one. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.