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SERP-test: a taxonomy for supporting industry–academia communication

Overview of attention for article published in Software Quality Journal, June 2016
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • Good Attention Score compared to outputs of the same age (77th percentile)

Mentioned by

twitter
4 tweeters
wikipedia
1 Wikipedia page

Readers on

mendeley
19 Mendeley
Title
SERP-test: a taxonomy for supporting industry–academia communication
Published in
Software Quality Journal, June 2016
DOI 10.1007/s11219-016-9322-x
Authors

Emelie Engström, Kai Petersen, Nauman bin Ali, Elizabeth Bjarnason

Twitter Demographics

The data shown below were collected from the profiles of 4 tweeters who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 19 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Italy 1 5%
United Kingdom 1 5%
Brazil 1 5%
Canada 1 5%
Unknown 15 79%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 9 47%
Student > Master 4 21%
Researcher 3 16%
Lecturer > Senior Lecturer 1 5%
Student > Postgraduate 1 5%
Other 1 5%
Readers by discipline Count As %
Computer Science 18 95%
Design 1 5%

Attention Score in Context

This research output has an Altmetric Attention Score of 7. 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 12 January 2018.
All research outputs
#1,534,872
of 9,048,693 outputs
Outputs from Software Quality Journal
#5
of 79 outputs
Outputs of similar age
#60,386
of 265,907 outputs
Outputs of similar age from Software Quality Journal
#2
of 3 outputs
Altmetric has tracked 9,048,693 research outputs across all sources so far. Compared to these this one has done well and is in the 82nd percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 79 research outputs from this source. They receive a mean Attention Score of 1.4. This one has done particularly well, scoring higher than 93% 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 265,907 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 77% of its contemporaries.
We're also able to compare this research output to 3 others from the same source and published within six weeks on either side of this one.