| Title |
Understanding automated and human-based technical debt identification approaches-a two-phase study
|
|---|---|
| Published in |
Journal of Brazilian Computer Society, June 2019
|
| DOI | 10.1186/s13173-019-0087-5 |
| Authors |
Rodrigo O. Spínola, Nico Zazworka, Antonio Vetro, Forrest Shull, Carolyn Seaman |
X Demographics
The data shown below were collected from the profiles of 4 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Italy | 4 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 2 | 50% |
| Science communicators (journalists, bloggers, editors) | 1 | 25% |
| Members of the public | 1 | 25% |
Mendeley readers
The data shown below were compiled from readership statistics for 37 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 37 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 5 | 14% |
| Researcher | 3 | 8% |
| Student > Bachelor | 3 | 8% |
| Professor | 2 | 5% |
| Student > Doctoral Student | 2 | 5% |
| Other | 7 | 19% |
| Unknown | 15 | 41% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 18 | 49% |
| Social Sciences | 2 | 5% |
| Decision Sciences | 1 | 3% |
| Unknown | 16 | 43% |
Attention Score in Context
This research output has an Altmetric Attention Score of 13. 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 01 February 2022.
All research outputs
#2,859,229
of 25,385,509 outputs
Outputs from Journal of Brazilian Computer Society
#1
of 65 outputs
Outputs of similar age
#59,517
of 368,023 outputs
Outputs of similar age from Journal of Brazilian Computer Society
#1
of 3 outputs
Altmetric has tracked 25,385,509 research outputs across all sources so far. Compared to these this one has done well and is in the 88th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 65 research outputs from this source. They receive a mean Attention Score of 2.9. This one has done particularly well, scoring higher than 98% 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 368,023 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 83% of its contemporaries.
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. This one has scored higher than all of them