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On the automatic classification of app reviews

Overview of attention for article published in Requirements Engineering, May 2016
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About this Attention Score

  • Among the highest-scoring outputs from this source (#39 of 208)
  • Good Attention Score compared to outputs of the same age (67th percentile)
  • Good Attention Score compared to outputs of the same age and source (66th percentile)

Mentioned by

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5 X users

Citations

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197 Dimensions

Readers on

mendeley
214 Mendeley
Title
On the automatic classification of app reviews
Published in
Requirements Engineering, May 2016
DOI 10.1007/s00766-016-0251-9
Authors

Walid Maalej, Zijad Kurtanović, Hadeer Nabil, Christoph Stanik

X Demographics

X Demographics

The data shown below were collected from the profiles of 5 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 214 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Germany 1 <1%
Unknown 213 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 51 24%
Student > Ph. D. Student 30 14%
Student > Bachelor 24 11%
Researcher 11 5%
Student > Doctoral Student 10 5%
Other 30 14%
Unknown 58 27%
Readers by discipline Count As %
Computer Science 103 48%
Engineering 14 7%
Business, Management and Accounting 10 5%
Social Sciences 6 3%
Psychology 3 1%
Other 14 7%
Unknown 64 30%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 4. 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 04 July 2016.
All research outputs
#7,480,676
of 24,780,938 outputs
Outputs from Requirements Engineering
#39
of 208 outputs
Outputs of similar age
#103,323
of 320,167 outputs
Outputs of similar age from Requirements Engineering
#3
of 6 outputs
Altmetric has tracked 24,780,938 research outputs across all sources so far. This one has received more attention than most of these and is in the 69th percentile.
So far Altmetric has tracked 208 research outputs from this source. They receive a mean Attention Score of 2.8. This one has done well, scoring higher than 81% 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 320,167 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 6 others from the same source and published within six weeks on either side of this one. This one has scored higher than 3 of them.