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Unsupervised software defect prediction using median absolute deviation threshold based spectral classifier on signed Laplacian matrix

Overview of attention for article published in Journal of Big Data, September 2019
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Mentioned by

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1 X user

Readers on

mendeley
32 Mendeley
Title
Unsupervised software defect prediction using median absolute deviation threshold based spectral classifier on signed Laplacian matrix
Published in
Journal of Big Data, September 2019
DOI 10.1186/s40537-019-0250-z
Authors

Aris Marjuni, Teguh B. Adji, Ridi Ferdiana

X Demographics

X Demographics

The data shown below were collected from the profile of 1 X user 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 32 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 32 100%

Demographic breakdown

Readers by professional status Count As %
Lecturer 5 16%
Student > Master 4 13%
Student > Ph. D. Student 3 9%
Other 1 3%
Librarian 1 3%
Other 4 13%
Unknown 14 44%
Readers by discipline Count As %
Computer Science 12 38%
Business, Management and Accounting 2 6%
Nursing and Health Professions 1 3%
Mathematics 1 3%
Agricultural and Biological Sciences 1 3%
Other 1 3%
Unknown 14 44%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. 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 28 September 2019.
All research outputs
#18,692,168
of 23,164,913 outputs
Outputs from Journal of Big Data
#264
of 346 outputs
Outputs of similar age
#259,042
of 346,590 outputs
Outputs of similar age from Journal of Big Data
#8
of 9 outputs
Altmetric has tracked 23,164,913 research outputs across all sources so far. This one is in the 11th percentile – i.e., 11% of other outputs scored the same or lower than it.
So far Altmetric has tracked 346 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 11.3. This one is in the 5th percentile – i.e., 5% 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 346,590 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 14th percentile – i.e., 14% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 9 others from the same source and published within six weeks on either side of this one.