| Title |
On the evaluation of code smells and detection tools
|
|---|---|
| Published in |
Journal of Software Engineering Research and Development, October 2017
|
| DOI | 10.1186/s40411-017-0041-1 |
| Authors |
Thanis Paiva, Amanda Damasceno, Eduardo Figueiredo, Cláudio Sant’Anna |
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 % |
|---|---|---|
| United States | 1 | 50% |
| Unknown | 1 | 50% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 1 | 50% |
| Members of the public | 1 | 50% |
Mendeley readers
The data shown below were compiled from readership statistics for 109 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 109 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 17 | 16% |
| Student > Master | 17 | 16% |
| Student > Bachelor | 11 | 10% |
| Professor > Associate Professor | 7 | 6% |
| Student > Doctoral Student | 6 | 6% |
| Other | 14 | 13% |
| Unknown | 37 | 34% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 58 | 53% |
| Engineering | 7 | 6% |
| Mathematics | 1 | <1% |
| Agricultural and Biological Sciences | 1 | <1% |
| Immunology and Microbiology | 1 | <1% |
| Other | 3 | 3% |
| Unknown | 38 | 35% |
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 07 March 2022.
All research outputs
#15,397,165
of 25,714,183 outputs
Outputs from Journal of Software Engineering Research and Development
#11
of 19 outputs
Outputs of similar age
#173,806
of 333,164 outputs
Outputs of similar age from Journal of Software Engineering Research and Development
#1
of 1 outputs
Altmetric has tracked 25,714,183 research outputs across all sources so far. This one is in the 38th percentile – i.e., 38% 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 2.5. This one scored the same or higher as 8 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 333,164 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 46th percentile – i.e., 46% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 1 others from the same source and published within six weeks on either side of this one. This one has scored higher than all of them