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Crowdsourcing for Software Engineering

Overview of attention for article published in IEEE Software, March 2017
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Mentioned by

twitter
1 X user

Citations

dimensions_citation
25 Dimensions

Readers on

mendeley
101 Mendeley
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Title
Crowdsourcing for Software Engineering
Published in
IEEE Software, March 2017
DOI 10.1109/ms.2017.52
Authors

Klaas-Jan Stol, Thomas D. LaToza, Christian Bird

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 101 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Germany 1 <1%
Unknown 100 99%

Demographic breakdown

Readers by professional status Count As %
Student > Master 26 26%
Student > Bachelor 15 15%
Student > Ph. D. Student 14 14%
Professor 6 6%
Student > Doctoral Student 5 5%
Other 21 21%
Unknown 14 14%
Readers by discipline Count As %
Computer Science 64 63%
Engineering 9 9%
Business, Management and Accounting 3 3%
Economics, Econometrics and Finance 1 <1%
Physics and Astronomy 1 <1%
Other 5 5%
Unknown 18 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 31 March 2017.
All research outputs
#17,289,387
of 25,382,440 outputs
Outputs from IEEE Software
#1,014
of 1,247 outputs
Outputs of similar age
#206,397
of 322,922 outputs
Outputs of similar age from IEEE Software
#19
of 22 outputs
Altmetric has tracked 25,382,440 research outputs across all sources so far. This one is in the 21st percentile – i.e., 21% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,247 research outputs from this source. They receive a mean Attention Score of 4.8. This one is in the 10th percentile – i.e., 10% 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 322,922 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 27th percentile – i.e., 27% 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 9th percentile – i.e., 9% of its contemporaries scored the same or lower than it.