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An extended global software engineering taxonomy

Overview of attention for article published in Journal of Software Engineering Research and Development, June 2016
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Mentioned by

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3 X users

Citations

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17 Dimensions

Readers on

mendeley
62 Mendeley
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Title
An extended global software engineering taxonomy
Published in
Journal of Software Engineering Research and Development, June 2016
DOI 10.1186/s40411-016-0029-2
Authors

Ricardo Britto, Claes Wohlin, Emilia Mendes

X Demographics

X Demographics

The data shown below were collected from the profiles of 3 X users 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 62 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 62 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 18 29%
Student > Ph. D. Student 10 16%
Student > Bachelor 7 11%
Student > Doctoral Student 6 10%
Professor 4 6%
Other 8 13%
Unknown 9 15%
Readers by discipline Count As %
Computer Science 44 71%
Engineering 2 3%
Social Sciences 2 3%
Business, Management and Accounting 1 2%
Arts and Humanities 1 2%
Other 1 2%
Unknown 11 18%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 3. 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 August 2016.
All research outputs
#12,960,084
of 22,876,619 outputs
Outputs from Journal of Software Engineering Research and Development
#5
of 19 outputs
Outputs of similar age
#168,239
of 341,017 outputs
Outputs of similar age from Journal of Software Engineering Research and Development
#1
of 1 outputs
Altmetric has tracked 22,876,619 research outputs across all sources so far. This one is in the 42nd percentile – i.e., 42% of other outputs scored the same or lower than it.
So far Altmetric has tracked 19 research outputs from this source. They receive a mean Attention Score of 2.4. This one scored the same or higher as 14 of them.
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 341,017 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 49th percentile – i.e., 49% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 1 others from the same source and published within six weeks on either side of this one. This one has scored higher than all of them