| Title |
Exploring the costs of technical debt management – a case study
|
|---|---|
| Published in |
Empirical Software Engineering, November 2014
|
| DOI | 10.1007/s10664-014-9351-7 |
| Authors |
Yuepu Guo, Rodrigo Oliveira Spínola, Carolyn Seaman |
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 % |
|---|---|---|
| Unknown | 2 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 2 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 126 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Sweden | 1 | <1% |
| Uruguay | 1 | <1% |
| Germany | 1 | <1% |
| Norway | 1 | <1% |
| Unknown | 122 | 97% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 37 | 29% |
| Student > Ph. D. Student | 21 | 17% |
| Student > Doctoral Student | 10 | 8% |
| Researcher | 9 | 7% |
| Student > Bachelor | 7 | 6% |
| Other | 19 | 15% |
| Unknown | 23 | 18% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 73 | 58% |
| Business, Management and Accounting | 10 | 8% |
| Engineering | 7 | 6% |
| Social Sciences | 3 | 2% |
| Unspecified | 1 | <1% |
| Other | 4 | 3% |
| Unknown | 28 | 22% |
Attention Score in Context
This research output has an Altmetric Attention Score of 3. 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 09 March 2017.
All research outputs
#13,382,435
of 22,849,304 outputs
Outputs from Empirical Software Engineering
#396
of 705 outputs
Outputs of similar age
#177,220
of 361,659 outputs
Outputs of similar age from Empirical Software Engineering
#2
of 11 outputs
Altmetric has tracked 22,849,304 research outputs across all sources so far. This one is in the 41st percentile – i.e., 41% of other outputs scored the same or lower than it.
So far Altmetric has tracked 705 research outputs from this source. They receive a mean Attention Score of 4.8. This one is in the 42nd percentile – i.e., 42% 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 361,659 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 50% of its contemporaries.
We're also able to compare this research output to 11 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 81% of its contemporaries.