| Title |
Comparing four approaches for technical debt identification
|
|---|---|
| Published in |
Software Quality Journal, April 2013
|
| DOI | 10.1007/s11219-013-9200-8 |
| Authors |
Nico Zazworka, Antonio Vetro’, Clemente Izurieta, Sunny Wong, Yuanfang Cai, Carolyn Seaman, Forrest Shull |
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 Kingdom | 2 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 2 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 150 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Brazil | 7 | 5% |
| Spain | 2 | 1% |
| Germany | 1 | <1% |
| Netherlands | 1 | <1% |
| Austria | 1 | <1% |
| Portugal | 1 | <1% |
| Sweden | 1 | <1% |
| Uruguay | 1 | <1% |
| Unknown | 135 | 90% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 36 | 24% |
| Student > Ph. D. Student | 30 | 20% |
| Student > Bachelor | 14 | 9% |
| Researcher | 11 | 7% |
| Student > Doctoral Student | 7 | 5% |
| Other | 18 | 12% |
| Unknown | 34 | 23% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 98 | 65% |
| Engineering | 10 | 7% |
| Psychology | 2 | 1% |
| Business, Management and Accounting | 2 | 1% |
| Social Sciences | 2 | 1% |
| Other | 1 | <1% |
| Unknown | 35 | 23% |
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 April 2013.
All research outputs
#14,611,970
of 22,687,320 outputs
Outputs from Software Quality Journal
#85
of 144 outputs
Outputs of similar age
#118,478
of 199,803 outputs
Outputs of similar age from Software Quality Journal
#3
of 3 outputs
Altmetric has tracked 22,687,320 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 144 research outputs from this source. They receive a mean Attention Score of 3.3. This one is in the 40th percentile – i.e., 40% 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 199,803 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 39th percentile – i.e., 39% 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.