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BugMaps-Granger: a tool for visualizing and predicting bugs using Granger causality tests

Overview of attention for article published in Journal of Software Engineering Research and Development, March 2014
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About this Attention Score

  • Above-average Attention Score compared to outputs of the same age (51st percentile)

Mentioned by

twitter
4 X users

Citations

dimensions_citation
4 Dimensions

Readers on

mendeley
19 Mendeley
Title
BugMaps-Granger: a tool for visualizing and predicting bugs using Granger causality tests
Published in
Journal of Software Engineering Research and Development, March 2014
DOI 10.1186/2195-1721-2-1
Authors

Cesar Couto, Marco Tulio Valente, Pedro Pires, Andre Hora, Nicolas Anquetil, Roberto S Bigonha

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

Geographical breakdown

Country Count As %
Japan 1 5%
Spain 1 5%
United States 1 5%
Unknown 16 84%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 4 21%
Student > Master 4 21%
Professor > Associate Professor 3 16%
Student > Ph. D. Student 2 11%
Other 2 11%
Other 2 11%
Unknown 2 11%
Readers by discipline Count As %
Computer Science 12 63%
Business, Management and Accounting 1 5%
Linguistics 1 5%
Unknown 5 26%
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 24 September 2014.
All research outputs
#13,058,067
of 22,751,628 outputs
Outputs from Journal of Software Engineering Research and Development
#8
of 19 outputs
Outputs of similar age
#106,282
of 223,399 outputs
Outputs of similar age from Journal of Software Engineering Research and Development
#1
of 1 outputs
Altmetric has tracked 22,751,628 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 19 research outputs from this source. They receive a mean Attention Score of 2.4. This one scored the same or higher as 11 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 223,399 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 51% 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