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Data mining for software engineering and humans in the loop

Overview of attention for article published in Progress in Artificial Intelligence, April 2016
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About this Attention Score

  • Average Attention Score compared to outputs of the same age

Mentioned by

twitter
2 X users

Citations

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22 Dimensions

Readers on

mendeley
57 Mendeley
Title
Data mining for software engineering and humans in the loop
Published in
Progress in Artificial Intelligence, April 2016
DOI 10.1007/s13748-016-0092-2
Authors

Leandro L. Minku, Emilia Mendes, Burak Turhan

X Demographics

X Demographics

The data shown below were collected from the profiles of 2 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 57 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 57 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 12 21%
Student > Ph. D. Student 9 16%
Lecturer 5 9%
Professor 4 7%
Researcher 3 5%
Other 10 18%
Unknown 14 25%
Readers by discipline Count As %
Computer Science 32 56%
Engineering 3 5%
Arts and Humanities 2 4%
Business, Management and Accounting 1 2%
Unknown 19 33%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 2. 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 November 2018.
All research outputs
#13,860,381
of 22,971,207 outputs
Outputs from Progress in Artificial Intelligence
#26
of 51 outputs
Outputs of similar age
#137,711
of 270,305 outputs
Outputs of similar age from Progress in Artificial Intelligence
#3
of 4 outputs
Altmetric has tracked 22,971,207 research outputs across all sources so far. This one is in the 38th percentile – i.e., 38% of other outputs scored the same or lower than it.
So far Altmetric has tracked 51 research outputs from this source. They receive a mean Attention Score of 3.4. This one is in the 43rd percentile – i.e., 43% 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 270,305 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 48th percentile – i.e., 48% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 4 others from the same source and published within six weeks on either side of this one.