Title |
Using text clustering to predict defect resolution time: a conceptual replication and an evaluation of prediction accuracy
|
---|---|
Published in |
Empirical Software Engineering, June 2015
|
DOI | 10.1007/s10664-015-9391-7 |
Authors |
Saïd Assar, Markus Borg, Dietmar Pfahl |
X Demographics
The data shown below were collected from the profiles of 5 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
Country | Count | As % |
---|---|---|
Sweden | 2 | 40% |
Russia | 1 | 20% |
France | 1 | 20% |
United States | 1 | 20% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Scientists | 3 | 60% |
Members of the public | 2 | 40% |
Mendeley readers
The data shown below were compiled from readership statistics for 51 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
New Zealand | 1 | 2% |
Unknown | 50 | 98% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Master | 12 | 24% |
Student > Ph. D. Student | 8 | 16% |
Student > Doctoral Student | 4 | 8% |
Student > Bachelor | 3 | 6% |
Other | 3 | 6% |
Other | 8 | 16% |
Unknown | 13 | 25% |
Readers by discipline | Count | As % |
---|---|---|
Computer Science | 30 | 59% |
Engineering | 2 | 4% |
Business, Management and Accounting | 1 | 2% |
Agricultural and Biological Sciences | 1 | 2% |
Nursing and Health Professions | 1 | 2% |
Other | 2 | 4% |
Unknown | 14 | 27% |
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 06 September 2016.
All research outputs
#7,129,050
of 22,815,414 outputs
Outputs from Empirical Software Engineering
#251
of 705 outputs
Outputs of similar age
#83,751
of 263,249 outputs
Outputs of similar age from Empirical Software Engineering
#1
of 11 outputs
Altmetric has tracked 22,815,414 research outputs across all sources so far. This one has received more attention than most of these and is in the 68th 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 63% 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 263,249 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 68% of its contemporaries.
We're also able to compare this research output to 11 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 90% of its contemporaries.