You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output.
Click here to find out more.
X Demographics
Mendeley readers
Attention Score in Context
| Title |
An approach for applying Test-Driven Development (TDD) in the development of randomized algorithms
|
|---|---|
| Published in |
Journal of Software Engineering Research and Development, September 2018
|
| DOI | 10.1186/s40411-018-0053-5 |
| Authors |
André A. S. Ivo, Eduardo M. Guerra, Sandy M. Porto, Joelma Choma, Marcos G. Quiles |
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 % |
|---|---|---|
| Brazil | 2 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 1 | 50% |
| Scientists | 1 | 50% |
Mendeley readers
The data shown below were compiled from readership statistics for 34 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 34 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Bachelor | 6 | 18% |
| Student > Master | 5 | 15% |
| Other | 3 | 9% |
| Student > Doctoral Student | 2 | 6% |
| Student > Ph. D. Student | 2 | 6% |
| Other | 1 | 3% |
| Unknown | 15 | 44% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 15 | 44% |
| Engineering | 3 | 9% |
| Unknown | 16 | 47% |
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 16 May 2020.
All research outputs
#14,425,183
of 23,103,903 outputs
Outputs from Journal of Software Engineering Research and Development
#13
of 19 outputs
Outputs of similar age
#191,479
of 341,703 outputs
Outputs of similar age from Journal of Software Engineering Research and Development
#3
of 3 outputs
Altmetric has tracked 23,103,903 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 19 research outputs from this source. They receive a mean Attention Score of 2.4. This one scored the same or higher as 6 of them.
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 341,703 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 41st percentile – i.e., 41% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 3 others from the same source and published within six weeks on either side of this one.