| Title |
A benchmark-based evaluation of search-based crash reproduction
|
|---|---|
| Published in |
Empirical Software Engineering, August 2019
|
| DOI | 10.1007/s10664-019-09762-1 |
| Authors |
Mozhan Soltani, Pouria Derakhshanfar, Xavier Devroey, Arie van Deursen |
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 % |
|---|---|---|
| Netherlands | 4 | 44% |
| Romania | 1 | 11% |
| Canada | 1 | 11% |
| Spain | 1 | 11% |
| Unknown | 2 | 22% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 7 | 78% |
| Members of the public | 1 | 11% |
| Science communicators (journalists, bloggers, editors) | 1 | 11% |
Mendeley readers
The data shown below were compiled from readership statistics for 35 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 35 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 12 | 34% |
| Researcher | 5 | 14% |
| Student > Bachelor | 3 | 9% |
| Student > Master | 3 | 9% |
| Student > Postgraduate | 2 | 6% |
| Other | 5 | 14% |
| Unknown | 5 | 14% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 24 | 69% |
| Engineering | 3 | 9% |
| Sports and Recreations | 1 | 3% |
| Agricultural and Biological Sciences | 1 | 3% |
| Unknown | 6 | 17% |
Attention Score in Context
This research output has an Altmetric Attention Score of 7. 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 October 2019.
All research outputs
#4,849,632
of 23,577,654 outputs
Outputs from Empirical Software Engineering
#114
of 720 outputs
Outputs of similar age
#93,392
of 342,170 outputs
Outputs of similar age from Empirical Software Engineering
#4
of 11 outputs
Altmetric has tracked 23,577,654 research outputs across all sources so far. Compared to these this one has done well and is in the 79th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 720 research outputs from this source. They receive a mean Attention Score of 4.8. This one has done well, scoring higher than 84% 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 342,170 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 72% 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 gotten more attention than average, scoring higher than 63% of its contemporaries.