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To the attention of mobile software developers: guess what, test your app!

Overview of attention for article published in Empirical Software Engineering, April 2019
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About this Attention Score

  • Average Attention Score compared to outputs of the same age
  • Above-average Attention Score compared to outputs of the same age and source (54th percentile)

Mentioned by

twitter
4 X users

Citations

dimensions_citation
27 Dimensions

Readers on

mendeley
74 Mendeley
Title
To the attention of mobile software developers: guess what, test your app!
Published in
Empirical Software Engineering, April 2019
DOI 10.1007/s10664-019-09701-0
Authors

Luis Cruz, Rui Abreu, David Lo

X Demographics

X Demographics

The data shown below were collected from the profiles of 4 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 74 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 74 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 7 9%
Student > Bachelor 6 8%
Other 4 5%
Student > Postgraduate 4 5%
Student > Ph. D. Student 4 5%
Other 11 15%
Unknown 38 51%
Readers by discipline Count As %
Computer Science 21 28%
Unspecified 2 3%
Engineering 2 3%
Biochemistry, Genetics and Molecular Biology 1 1%
Business, Management and Accounting 1 1%
Other 4 5%
Unknown 43 58%
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 17 November 2020.
All research outputs
#13,290,814
of 23,142,049 outputs
Outputs from Empirical Software Engineering
#364
of 710 outputs
Outputs of similar age
#170,714
of 353,223 outputs
Outputs of similar age from Empirical Software Engineering
#15
of 33 outputs
Altmetric has tracked 23,142,049 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 710 research outputs from this source. They receive a mean Attention Score of 4.8. This one is in the 47th percentile – i.e., 47% 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 353,223 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 50% of its contemporaries.
We're also able to compare this research output to 33 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 54% of its contemporaries.