| Title |
Effect sizes and their variance for AB/BA crossover design studies
|
|---|---|
| Published in |
Empirical Software Engineering, December 2017
|
| DOI | 10.1007/s10664-017-9574-5 |
| Authors |
Lech Madeyski, Barbara Kitchenham |
X Demographics
The data shown below were collected from the profiles of 12 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Brazil | 2 | 17% |
| Sweden | 2 | 17% |
| United States | 1 | 8% |
| India | 1 | 8% |
| Poland | 1 | 8% |
| Unknown | 5 | 42% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 7 | 58% |
| Members of the public | 4 | 33% |
| Science communicators (journalists, bloggers, editors) | 1 | 8% |
Mendeley readers
The data shown below were compiled from readership statistics for 50 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 50 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 10 | 20% |
| Student > Master | 9 | 18% |
| Researcher | 4 | 8% |
| Other | 4 | 8% |
| Professor > Associate Professor | 3 | 6% |
| Other | 8 | 16% |
| Unknown | 12 | 24% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 19 | 38% |
| Medicine and Dentistry | 3 | 6% |
| Nursing and Health Professions | 3 | 6% |
| Engineering | 2 | 4% |
| Business, Management and Accounting | 1 | 2% |
| Other | 6 | 12% |
| Unknown | 16 | 32% |
Attention Score in Context
This research output has an Altmetric Attention Score of 8. 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 15 April 2019.
All research outputs
#4,087,315
of 23,011,300 outputs
Outputs from Empirical Software Engineering
#93
of 707 outputs
Outputs of similar age
#87,887
of 439,989 outputs
Outputs of similar age from Empirical Software Engineering
#8
of 30 outputs
Altmetric has tracked 23,011,300 research outputs across all sources so far. Compared to these this one has done well and is in the 82nd percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 707 research outputs from this source. They receive a mean Attention Score of 4.8. This one has done well, scoring higher than 86% 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 439,989 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 80% of its contemporaries.
We're also able to compare this research output to 30 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 73% of its contemporaries.