| Title |
Empirical study on the discrepancy between performance testing results from virtual and physical environments
|
|---|---|
| Published in |
Empirical Software Engineering, October 2017
|
| DOI | 10.1007/s10664-017-9553-x |
| Authors |
Muhammad Moiz Arif, Weiyi Shang, Emad Shihab |
X Demographics
The data shown below were collected from the profiles of 2 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 | 1 | 50% |
| Unknown | 1 | 50% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 1 | 50% |
| Science communicators (journalists, bloggers, editors) | 1 | 50% |
Mendeley readers
The data shown below were compiled from readership statistics for 45 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 45 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 6 | 13% |
| Student > Bachelor | 5 | 11% |
| Lecturer | 4 | 9% |
| Student > Doctoral Student | 4 | 9% |
| Student > Postgraduate | 4 | 9% |
| Other | 7 | 16% |
| Unknown | 15 | 33% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 18 | 40% |
| Engineering | 6 | 13% |
| Economics, Econometrics and Finance | 1 | 2% |
| Agricultural and Biological Sciences | 1 | 2% |
| Materials Science | 1 | 2% |
| Other | 1 | 2% |
| Unknown | 17 | 38% |
Attention Score in Context
This research output has an Altmetric Attention Score of 2. 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 27 March 2019.
All research outputs
#15,020,700
of 23,106,390 outputs
Outputs from Empirical Software Engineering
#486
of 710 outputs
Outputs of similar age
#191,012
of 323,278 outputs
Outputs of similar age from Empirical Software Engineering
#18
of 23 outputs
Altmetric has tracked 23,106,390 research outputs across all sources so far. This one is in the 32nd percentile – i.e., 32% of other outputs scored the same or lower than it.
So far Altmetric has tracked 710 research outputs from this source. They receive a mean Attention Score of 4.8. This one is in the 28th percentile – i.e., 28% 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 323,278 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 37th percentile – i.e., 37% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 23 others from the same source and published within six weeks on either side of this one. This one is in the 17th percentile – i.e., 17% of its contemporaries scored the same or lower than it.