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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Human-in-the-Loop Automatic Program Repair
|
|---|---|
| Published in |
IEEE Transactions on Software Engineering, August 2023
|
| DOI | 10.1109/tse.2023.3305052 |
| Authors |
Charaka Geethal, Marcel Böhme, Van-Thuan Pham |
X Demographics
The data shown below were collected from the profiles of 9 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Germany | 4 | 44% |
| United States | 1 | 11% |
| Australia | 1 | 11% |
| Central African Republic | 1 | 11% |
| Unknown | 2 | 22% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 5 | 56% |
| Scientists | 4 | 44% |
Mendeley readers
The data shown below were compiled from readership statistics for 26 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 26 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 9 | 35% |
| Student > Bachelor | 2 | 8% |
| Lecturer | 2 | 8% |
| Student > Master | 2 | 8% |
| Professor > Associate Professor | 2 | 8% |
| Other | 4 | 15% |
| Unknown | 5 | 19% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 13 | 50% |
| Unspecified | 1 | 4% |
| Business, Management and Accounting | 1 | 4% |
| Nursing and Health Professions | 1 | 4% |
| Social Sciences | 1 | 4% |
| Other | 2 | 8% |
| Unknown | 7 | 27% |
Attention Score in Context
This research output has an Altmetric Attention Score of 6. 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 10 September 2023.
All research outputs
#6,381,500
of 25,457,297 outputs
Outputs from IEEE Transactions on Software Engineering
#1,773
of 6,376 outputs
Outputs of similar age
#93,473
of 356,309 outputs
Outputs of similar age from IEEE Transactions on Software Engineering
#12
of 45 outputs
Altmetric has tracked 25,457,297 research outputs across all sources so far. This one has received more attention than most of these and is in the 74th percentile.
So far Altmetric has tracked 6,376 research outputs from this source. They receive a mean Attention Score of 4.9. This one has gotten more attention than average, scoring higher than 72% 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 356,309 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 73% of its contemporaries.
We're also able to compare this research output to 45 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 75% of its contemporaries.