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An empirical catalog of code smells for the presentation layer of Android apps

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

  • Good Attention Score compared to outputs of the same age (65th percentile)
  • Average Attention Score compared to outputs of the same age and source

Mentioned by

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Citations

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14 Dimensions

Readers on

mendeley
43 Mendeley
Title
An empirical catalog of code smells for the presentation layer of Android apps
Published in
Empirical Software Engineering, November 2019
DOI 10.1007/s10664-019-09768-9
Authors

Suelen Goularte Carvalho, Maurício Aniche, Júlio Veríssimo, Rafael S. Durelli, Marco Aurélio Gerosa

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 43 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 43 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 7 16%
Student > Ph. D. Student 6 14%
Student > Postgraduate 3 7%
Student > Doctoral Student 2 5%
Other 2 5%
Other 6 14%
Unknown 17 40%
Readers by discipline Count As %
Computer Science 21 49%
Business, Management and Accounting 1 2%
Arts and Humanities 1 2%
Psychology 1 2%
Engineering 1 2%
Other 0 0%
Unknown 18 42%
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 January 2021.
All research outputs
#7,418,623
of 23,539,593 outputs
Outputs from Empirical Software Engineering
#253
of 719 outputs
Outputs of similar age
#157,839
of 461,752 outputs
Outputs of similar age from Empirical Software Engineering
#4
of 8 outputs
Altmetric has tracked 23,539,593 research outputs across all sources so far. This one has received more attention than most of these and is in the 68th percentile.
So far Altmetric has tracked 719 research outputs from this source. They receive a mean Attention Score of 4.8. This one has gotten more attention than average, scoring higher than 63% 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 461,752 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 65% of its contemporaries.
We're also able to compare this research output to 8 others from the same source and published within six weeks on either side of this one. This one has scored higher than 4 of them.