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Mendeley readers
Attention Score in Context
| Title |
Comments on "Data Mining Static Code Attributes to Learn Defect Predictors"
|
|---|---|
| Published in |
IEEE Transactions on Software Engineering, September 2007
|
| DOI | 10.1109/tse.2007.70706 |
| Authors |
Hongyu Zhang, Xiuzhen Zhang |
Mendeley readers
The data shown below were compiled from readership statistics for 334 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 7 | 2% |
| Germany | 3 | <1% |
| Turkey | 2 | <1% |
| Iran, Islamic Republic of | 2 | <1% |
| Netherlands | 1 | <1% |
| France | 1 | <1% |
| Korea, Republic of | 1 | <1% |
| Italy | 1 | <1% |
| Austria | 1 | <1% |
| Other | 10 | 3% |
| Unknown | 305 | 91% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 100 | 30% |
| Student > Ph. D. Student | 70 | 21% |
| Student > Bachelor | 27 | 8% |
| Researcher | 18 | 5% |
| Professor > Associate Professor | 17 | 5% |
| Other | 58 | 17% |
| Unknown | 44 | 13% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 238 | 71% |
| Engineering | 20 | 6% |
| Social Sciences | 5 | 1% |
| Business, Management and Accounting | 3 | <1% |
| Agricultural and Biological Sciences | 2 | <1% |
| Other | 12 | 4% |
| Unknown | 54 | 16% |
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 14 June 2022.
All research outputs
#8,535,684
of 25,377,790 outputs
Outputs from IEEE Transactions on Software Engineering
#2,238
of 6,368 outputs
Outputs of similar age
#28,650
of 81,079 outputs
Outputs of similar age from IEEE Transactions on Software Engineering
#11
of 38 outputs
Altmetric has tracked 25,377,790 research outputs across all sources so far. This one is in the 43rd percentile – i.e., 43% of other outputs scored the same or lower than it.
So far Altmetric has tracked 6,368 research outputs from this source. They receive a mean Attention Score of 4.9. This one is in the 27th percentile – i.e., 27% 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 81,079 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 16th percentile – i.e., 16% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 38 others from the same source and published within six weeks on either side of this one. This one is in the 5th percentile – i.e., 5% of its contemporaries scored the same or lower than it.