| Title |
On the dataset shift problem in software engineering prediction models
|
|---|---|
| Published in |
Empirical Software Engineering, October 2011
|
| DOI | 10.1007/s10664-011-9182-8 |
| Authors |
Burak Turhan |
Mendeley readers
The data shown below were compiled from readership statistics for 125 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Brazil | 3 | 2% |
| Turkey | 2 | 2% |
| Bulgaria | 1 | <1% |
| Italy | 1 | <1% |
| Finland | 1 | <1% |
| Canada | 1 | <1% |
| United States | 1 | <1% |
| Poland | 1 | <1% |
| Unknown | 114 | 91% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 29 | 23% |
| Student > Master | 25 | 20% |
| Researcher | 19 | 15% |
| Student > Bachelor | 11 | 9% |
| Professor > Associate Professor | 9 | 7% |
| Other | 20 | 16% |
| Unknown | 12 | 10% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 81 | 65% |
| Engineering | 11 | 9% |
| Social Sciences | 2 | 2% |
| Business, Management and Accounting | 1 | <1% |
| Physics and Astronomy | 1 | <1% |
| Other | 5 | 4% |
| Unknown | 24 | 19% |
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 15 November 2023.
All research outputs
#8,320,890
of 24,892,887 outputs
Outputs from Empirical Software Engineering
#295
of 758 outputs
Outputs of similar age
#48,507
of 140,565 outputs
Outputs of similar age from Empirical Software Engineering
#2
of 2 outputs
Altmetric has tracked 24,892,887 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 758 research outputs from this source. They receive a mean Attention Score of 4.7. This one has gotten more attention than average, scoring higher than 57% 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 140,565 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 37th percentile – i.e., 37% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 2 others from the same source and published within six weeks on either side of this one.