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An empirical study on the importance of source code entities for requirements traceability

Overview of attention for article published in Empirical Software Engineering, July 2014
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  • Average Attention Score compared to outputs of the same age and source

Mentioned by

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1 X user
facebook
1 Facebook page

Citations

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23 Dimensions

Readers on

mendeley
53 Mendeley
Title
An empirical study on the importance of source code entities for requirements traceability
Published in
Empirical Software Engineering, July 2014
DOI 10.1007/s10664-014-9315-y
Authors

Nasir Ali, Zohreh Sharafi, Yann-Gaël Guéhéneuc, Giuliano Antoniol

X Demographics

X Demographics

The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 53 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
New Zealand 1 2%
United States 1 2%
Unknown 51 96%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 14 26%
Student > Master 12 23%
Researcher 7 13%
Professor > Associate Professor 4 8%
Student > Doctoral Student 3 6%
Other 7 13%
Unknown 6 11%
Readers by discipline Count As %
Computer Science 31 58%
Engineering 5 9%
Psychology 3 6%
Linguistics 1 2%
Chemical Engineering 1 2%
Other 2 4%
Unknown 10 19%
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 26 May 2015.
All research outputs
#17,723,043
of 22,758,248 outputs
Outputs from Empirical Software Engineering
#553
of 705 outputs
Outputs of similar age
#154,928
of 227,671 outputs
Outputs of similar age from Empirical Software Engineering
#6
of 10 outputs
Altmetric has tracked 22,758,248 research outputs across all sources so far. This one is in the 19th percentile – i.e., 19% 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 16th percentile – i.e., 16% 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 227,671 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 28th percentile – i.e., 28% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 10 others from the same source and published within six weeks on either side of this one. This one has scored higher than 4 of them.