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
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
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
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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.
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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.