| Title |
On the search for industry-relevant regression testing research
|
|---|---|
| Published in |
Empirical Software Engineering, February 2019
|
| DOI | 10.1007/s10664-018-9670-1 |
| Authors |
Nauman bin Ali, Emelie Engström, Masoumeh Taromirad, Mohammad Reza Mousavi, Nasir Mehmood Minhas, Daniel Helgesson, Sebastian Kunze, Mahsa Varshosaz |
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 % |
|---|---|---|
| Sweden | 3 | 33% |
| Brazil | 1 | 11% |
| United Kingdom | 1 | 11% |
| United States | 1 | 11% |
| Canada | 1 | 11% |
| Unknown | 2 | 22% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 7 | 78% |
| Science communicators (journalists, bloggers, editors) | 1 | 11% |
| Members of the public | 1 | 11% |
Mendeley readers
The data shown below were compiled from readership statistics for 76 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 76 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 10 | 13% |
| Student > Ph. D. Student | 9 | 12% |
| Lecturer | 6 | 8% |
| Student > Bachelor | 6 | 8% |
| Professor | 3 | 4% |
| Other | 13 | 17% |
| Unknown | 29 | 38% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 37 | 49% |
| Unspecified | 3 | 4% |
| Agricultural and Biological Sciences | 2 | 3% |
| Engineering | 2 | 3% |
| Medicine and Dentistry | 1 | 1% |
| Other | 1 | 1% |
| Unknown | 30 | 39% |
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 04 November 2020.
All research outputs
#5,674,218
of 23,511,526 outputs
Outputs from Empirical Software Engineering
#139
of 718 outputs
Outputs of similar age
#119,284
of 449,640 outputs
Outputs of similar age from Empirical Software Engineering
#5
of 25 outputs
Altmetric has tracked 23,511,526 research outputs across all sources so far. Compared to these this one has done well and is in the 75th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 718 research outputs from this source. They receive a mean Attention Score of 4.8. This one has done well, scoring higher than 80% 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 449,640 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 25 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 84% of its contemporaries.