| Title |
Mining software repair models for reasoning on the search space of automated program fixing
|
|---|---|
| Published in |
Empirical Software Engineering, November 2013
|
| DOI | 10.1007/s10664-013-9282-8 |
| Authors |
Matias Martinez, Martin Monperrus |
X Demographics
The data shown below were collected from the profiles of 3 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Norway | 1 | 33% |
| Qatar | 1 | 33% |
| Philippines | 1 | 33% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 3 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 98 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Korea, Republic of | 2 | 2% |
| United Kingdom | 1 | 1% |
| New Zealand | 1 | 1% |
| France | 1 | 1% |
| Unknown | 93 | 95% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 35 | 36% |
| Student > Master | 14 | 14% |
| Researcher | 13 | 13% |
| Student > Doctoral Student | 7 | 7% |
| Student > Bachelor | 6 | 6% |
| Other | 13 | 13% |
| Unknown | 10 | 10% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 74 | 76% |
| Engineering | 6 | 6% |
| Mathematics | 1 | 1% |
| Social Sciences | 1 | 1% |
| Earth and Planetary Sciences | 1 | 1% |
| Other | 0 | 0% |
| Unknown | 15 | 15% |
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 09 February 2015.
All research outputs
#15,477,045
of 22,999,744 outputs
Outputs from Empirical Software Engineering
#510
of 707 outputs
Outputs of similar age
#194,003
of 308,078 outputs
Outputs of similar age from Empirical Software Engineering
#6
of 8 outputs
Altmetric has tracked 22,999,744 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 707 research outputs from this source. They receive a mean Attention Score of 4.8. This one is in the 21st percentile – i.e., 21% 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 308,078 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 27th percentile – i.e., 27% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 8 others from the same source and published within six weeks on either side of this one. This one has scored higher than 2 of them.