| Title |
The role of replications in Empirical Software Engineering
|
|---|---|
| Published in |
Empirical Software Engineering, January 2008
|
| DOI | 10.1007/s10664-008-9060-1 |
| Authors |
Forrest J. Shull, Jeffrey C. Carver, Sira Vegas, Natalia Juristo |
X Demographics
The data shown below were collected from the profiles of 3 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 | 1 | 33% |
| Netherlands | 1 | 33% |
| Unknown | 1 | 33% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 2 | 67% |
| Members of the public | 1 | 33% |
Mendeley readers
The data shown below were compiled from readership statistics for 166 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Brazil | 5 | 3% |
| United States | 4 | 2% |
| Turkey | 3 | 2% |
| Ireland | 2 | 1% |
| Netherlands | 1 | <1% |
| Portugal | 1 | <1% |
| Uruguay | 1 | <1% |
| Sweden | 1 | <1% |
| Germany | 1 | <1% |
| Other | 4 | 2% |
| Unknown | 143 | 86% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 55 | 33% |
| Student > Master | 27 | 16% |
| Researcher | 23 | 14% |
| Professor | 14 | 8% |
| Student > Doctoral Student | 12 | 7% |
| Other | 28 | 17% |
| Unknown | 7 | 4% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 137 | 83% |
| Business, Management and Accounting | 5 | 3% |
| Engineering | 3 | 2% |
| Economics, Econometrics and Finance | 3 | 2% |
| Medicine and Dentistry | 2 | 1% |
| Other | 3 | 2% |
| Unknown | 13 | 8% |
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 2018.
All research outputs
#16,443,300
of 25,837,817 outputs
Outputs from Empirical Software Engineering
#506
of 803 outputs
Outputs of similar age
#147,872
of 175,016 outputs
Outputs of similar age from Empirical Software Engineering
#2
of 2 outputs
Altmetric has tracked 25,837,817 research outputs across all sources so far. This one is in the 34th percentile – i.e., 34% of other outputs scored the same or lower than it.
So far Altmetric has tracked 803 research outputs from this source. They receive a mean Attention Score of 4.8. This one is in the 32nd percentile – i.e., 32% 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 175,016 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 15th percentile – i.e., 15% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 2 others from the same source and published within six weeks on either side of this one.