↓ Skip to main content

Combined classifier for cross-project defect prediction: an extended empirical study

Overview of attention for article published in Frontiers of Computer Science, February 2018
Altmetric Badge

About this Attention Score

  • Average Attention Score compared to outputs of the same age and source

Mentioned by

twitter
1 X user

Citations

dimensions_citation
35 Dimensions

Readers on

mendeley
57 Mendeley
You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output. Click here to find out more.
Title
Combined classifier for cross-project defect prediction: an extended empirical study
Published in
Frontiers of Computer Science, February 2018
DOI 10.1007/s11704-017-6015-y
Authors

Yun Zhang, David Lo, Xin Xia, Jianling Sun

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 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 > Ph. D. Student 12 21%
Lecturer 6 11%
Student > Master 6 11%
Student > Doctoral Student 4 7%
Student > Bachelor 3 5%
Other 11 19%
Unknown 15 26%
Readers by discipline Count As %
Computer Science 30 53%
Engineering 4 7%
Agricultural and Biological Sciences 1 2%
Environmental Science 1 2%
Economics, Econometrics and Finance 1 2%
Other 1 2%
Unknown 19 33%
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 22 May 2018.
All research outputs
#15,519,470
of 23,065,445 outputs
Outputs from Frontiers of Computer Science
#52
of 465 outputs
Outputs of similar age
#291,778
of 474,475 outputs
Outputs of similar age from Frontiers of Computer Science
#2
of 13 outputs
Altmetric has tracked 23,065,445 research outputs across all sources so far. This one is in the 22nd percentile – i.e., 22% of other outputs scored the same or lower than it.
So far Altmetric has tracked 465 research outputs from this source. They receive a mean Attention Score of 1.4. This one has gotten more attention than average, scoring higher than 60% 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 474,475 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 29th percentile – i.e., 29% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 13 others from the same source and published within six weeks on either side of this one. This one is in the 38th percentile – i.e., 38% of its contemporaries scored the same or lower than it.