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A field study of how developers locate features in source code

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

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1 Facebook page

Citations

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25 Dimensions

Readers on

mendeley
48 Mendeley
Title
A field study of how developers locate features in source code
Published in
Empirical Software Engineering, March 2015
DOI 10.1007/s10664-015-9373-9
Authors

Kostadin Damevski, David Shepherd, Lori Pollock

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 48 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Korea, Republic of 1 2%
Brazil 1 2%
Unknown 46 96%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 15 31%
Student > Master 7 15%
Student > Doctoral Student 3 6%
Student > Postgraduate 3 6%
Other 3 6%
Other 8 17%
Unknown 9 19%
Readers by discipline Count As %
Computer Science 34 71%
Social Sciences 1 2%
Engineering 1 2%
Unknown 12 25%
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 12 May 2016.
All research outputs
#20,302,535
of 22,840,638 outputs
Outputs from Empirical Software Engineering
#624
of 705 outputs
Outputs of similar age
#218,394
of 258,819 outputs
Outputs of similar age from Empirical Software Engineering
#11
of 23 outputs
Altmetric has tracked 22,840,638 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 258,819 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 23 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.