| Title |
Replication of empirical studies in software engineering research: a systematic mapping study
|
|---|---|
| Published in |
Empirical Software Engineering, September 2012
|
| DOI | 10.1007/s10664-012-9227-7 |
| Authors |
Fabio Q. B. da Silva, Marcos Suassuna, A. César C. França, Alicia M. Grubb, Tatiana B. Gouveia, Cleviton V. F. Monteiro, Igor Ebrahim dos Santos |
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 % |
|---|---|---|
| Sweden | 2 | 67% |
| 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 135 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Uruguay | 2 | 1% |
| Brazil | 2 | 1% |
| Turkey | 1 | <1% |
| Indonesia | 1 | <1% |
| Germany | 1 | <1% |
| Canada | 1 | <1% |
| New Zealand | 1 | <1% |
| United States | 1 | <1% |
| Unknown | 125 | 93% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 28 | 21% |
| Student > Ph. D. Student | 25 | 19% |
| Professor | 14 | 10% |
| Student > Bachelor | 14 | 10% |
| Researcher | 8 | 6% |
| Other | 28 | 21% |
| Unknown | 18 | 13% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 98 | 73% |
| Engineering | 6 | 4% |
| Social Sciences | 3 | 2% |
| Business, Management and Accounting | 1 | <1% |
| Psychology | 1 | <1% |
| Other | 3 | 2% |
| Unknown | 23 | 17% |
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 29 August 2022.
All research outputs
#14,478,822
of 23,202,641 outputs
Outputs from Empirical Software Engineering
#453
of 710 outputs
Outputs of similar age
#100,607
of 171,183 outputs
Outputs of similar age from Empirical Software Engineering
#2
of 5 outputs
Altmetric has tracked 23,202,641 research outputs across all sources so far. This one is in the 35th percentile – i.e., 35% 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 33rd percentile – i.e., 33% 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 171,183 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 38th percentile – i.e., 38% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 5 others from the same source and published within six weeks on either side of this one. This one has scored higher than 3 of them.