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Preprocessor-based variability in open-source and industrial software systems: An empirical study

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

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1 Facebook page

Citations

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70 Dimensions

Readers on

mendeley
49 Mendeley
citeulike
1 CiteULike
Title
Preprocessor-based variability in open-source and industrial software systems: An empirical study
Published in
Empirical Software Engineering, April 2015
DOI 10.1007/s10664-015-9360-1
Authors

Claus Hunsen, Bo Zhang, Janet Siegmund, Christian Kästner, Olaf Leßenich, Martin Becker, Sven Apel

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 49 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Indonesia 1 2%
Unknown 48 98%

Demographic breakdown

Readers by professional status Count As %
Student > Master 12 24%
Student > Ph. D. Student 10 20%
Student > Bachelor 5 10%
Professor 3 6%
Student > Doctoral Student 3 6%
Other 11 22%
Unknown 5 10%
Readers by discipline Count As %
Computer Science 39 80%
Social Sciences 2 4%
Biochemistry, Genetics and Molecular Biology 1 2%
Medicine and Dentistry 1 2%
Engineering 1 2%
Other 0 0%
Unknown 5 10%
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 29 September 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
#223,453
of 264,341 outputs
Outputs of similar age from Empirical Software Engineering
#10
of 22 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 264,341 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 22 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.