| Title |
Software process evaluation: a machine learning framework with application to defect management process
|
|---|---|
| Published in |
Empirical Software Engineering, May 2013
|
| DOI | 10.1007/s10664-013-9254-z |
| Authors |
Ning Chen, Steven C. H. Hoi, Xiaokui Xiao |
Mendeley readers
The data shown below were compiled from readership statistics for 74 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Brazil | 2 | 3% |
| New Zealand | 1 | 1% |
| Unknown | 71 | 96% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 23 | 31% |
| Student > Ph. D. Student | 12 | 16% |
| Professor | 6 | 8% |
| Researcher | 5 | 7% |
| Student > Postgraduate | 5 | 7% |
| Other | 12 | 16% |
| Unknown | 11 | 15% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 47 | 64% |
| Engineering | 5 | 7% |
| Business, Management and Accounting | 2 | 3% |
| Environmental Science | 1 | 1% |
| Sports and Recreations | 1 | 1% |
| Other | 3 | 4% |
| Unknown | 15 | 20% |
Attention Score in Context
This research output has an Altmetric Attention Score of 4. 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 26 November 2019.
All research outputs
#7,212,132
of 22,796,179 outputs
Outputs from Empirical Software Engineering
#265
of 705 outputs
Outputs of similar age
#62,090
of 192,932 outputs
Outputs of similar age from Empirical Software Engineering
#2
of 2 outputs
Altmetric has tracked 22,796,179 research outputs across all sources so far. This one has received more attention than most of these and is in the 67th percentile.
So far Altmetric has tracked 705 research outputs from this source. They receive a mean Attention Score of 4.8. This one has gotten more attention than average, scoring higher than 61% 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 192,932 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 66% of its contemporaries.
We're also able to compare this research output to 2 others from the same source and published within six weeks on either side of this one.