| Title |
Overfitting in semantics-based automated program repair
|
|---|---|
| Published in |
Empirical Software Engineering, March 2018
|
| DOI | 10.1007/s10664-017-9577-2 |
| Authors |
Xuan Bach D. Le, Ferdian Thung, David Lo, Claire Le Goues |
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.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Science communicators (journalists, bloggers, editors) | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 60 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 60 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 19 | 32% |
| Student > Master | 10 | 17% |
| Student > Bachelor | 5 | 8% |
| Researcher | 5 | 8% |
| Student > Doctoral Student | 1 | 2% |
| Other | 4 | 7% |
| Unknown | 16 | 27% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 36 | 60% |
| Engineering | 4 | 7% |
| Psychology | 1 | 2% |
| Agricultural and Biological Sciences | 1 | 2% |
| Unknown | 18 | 30% |
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 30 May 2019.
All research outputs
#6,898,538
of 23,108,064 outputs
Outputs from Empirical Software Engineering
#217
of 710 outputs
Outputs of similar age
#120,244
of 331,604 outputs
Outputs of similar age from Empirical Software Engineering
#13
of 34 outputs
Altmetric has tracked 23,108,064 research outputs across all sources so far. This one has received more attention than most of these and is in the 69th percentile.
So far Altmetric has tracked 710 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 68% 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 331,604 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 63% of its contemporaries.
We're also able to compare this research output to 34 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 61% of its contemporaries.