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On the evaluation of code smells and detection tools

Overview of attention for article published in Journal of Software Engineering Research and Development, October 2017
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About this Attention Score

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

Mentioned by

twitter
3 X users

Citations

dimensions_citation
53 Dimensions

Readers on

mendeley
109 Mendeley
Title
On the evaluation of code smells and detection tools
Published in
Journal of Software Engineering Research and Development, October 2017
DOI 10.1186/s40411-017-0041-1
Authors

Thanis Paiva, Amanda Damasceno, Eduardo Figueiredo, Cláudio Sant’Anna

X Demographics

X Demographics

The data shown below were collected from the profiles of 3 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 109 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 109 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 17 16%
Student > Master 17 16%
Student > Bachelor 11 10%
Professor > Associate Professor 7 6%
Student > Doctoral Student 6 6%
Other 15 14%
Unknown 36 33%
Readers by discipline Count As %
Computer Science 58 53%
Engineering 7 6%
Mathematics 1 <1%
Agricultural and Biological Sciences 1 <1%
Unspecified 1 <1%
Other 4 4%
Unknown 37 34%
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 07 March 2022.
All research outputs
#7,650,357
of 23,292,144 outputs
Outputs from Journal of Software Engineering Research and Development
#4
of 19 outputs
Outputs of similar age
#123,202
of 324,138 outputs
Outputs of similar age from Journal of Software Engineering Research and Development
#1
of 1 outputs
Altmetric has tracked 23,292,144 research outputs across all sources so far. This one is in the 44th percentile – i.e., 44% of other outputs scored the same or lower than it.
So far Altmetric has tracked 19 research outputs from this source. They receive a mean Attention Score of 2.4. This one scored the same or higher as 15 of them.
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 324,138 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 54% of its contemporaries.
We're also able to compare this research output to 1 others from the same source and published within six weeks on either side of this one. This one has scored higher than all of them