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Introduction to the EASE 2016 special section: Evidence-based software engineering: Past, present, and future

Overview of attention for article published in Information & Software Technology, September 2017
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About this Attention Score

  • Good Attention Score compared to outputs of the same age (67th percentile)
  • Good Attention Score compared to outputs of the same age and source (78th percentile)

Mentioned by

twitter
6 X users

Citations

dimensions_citation
7 Dimensions

Readers on

mendeley
34 Mendeley
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Title
Introduction to the EASE 2016 special section: Evidence-based software engineering: Past, present, and future
Published in
Information & Software Technology, September 2017
DOI 10.1016/j.infsof.2017.05.002
Authors

Sarah Beecham, David Bowes, Klaas-Jan Stol

X Demographics

X Demographics

The data shown below were collected from the profiles of 6 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 34 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 34 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 6 18%
Researcher 4 12%
Other 3 9%
Student > Doctoral Student 3 9%
Student > Bachelor 3 9%
Other 11 32%
Unknown 4 12%
Readers by discipline Count As %
Computer Science 20 59%
Business, Management and Accounting 3 9%
Economics, Econometrics and Finance 2 6%
Engineering 2 6%
Linguistics 1 3%
Other 1 3%
Unknown 5 15%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 5. 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 17 July 2017.
All research outputs
#7,265,756
of 25,382,440 outputs
Outputs from Information & Software Technology
#215
of 1,364 outputs
Outputs of similar age
#106,413
of 324,453 outputs
Outputs of similar age from Information & Software Technology
#3
of 14 outputs
Altmetric has tracked 25,382,440 research outputs across all sources so far. This one has received more attention than most of these and is in the 71st percentile.
So far Altmetric has tracked 1,364 research outputs from this source. They receive a mean Attention Score of 2.6. This one has done well, scoring higher than 83% of its peers.
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 324,453 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 67% of its contemporaries.
We're also able to compare this research output to 14 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 78% of its contemporaries.