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Mendeley readers
Attention Score in Context
| Title |
Studying the needed effort for identifying duplicate issues
|
|---|---|
| Published in |
Empirical Software Engineering, November 2015
|
| DOI | 10.1007/s10664-015-9404-6 |
| Authors |
Mohamed Sami Rakha, Weiyi Shang, Ahmed E. Hassan |
Mendeley readers
The data shown below were compiled from readership statistics for 74 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Korea, Republic of | 1 | 1% |
| United States | 1 | 1% |
| Italy | 1 | 1% |
| Unknown | 71 | 96% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 33 | 45% |
| Student > Ph. D. Student | 15 | 20% |
| Student > Doctoral Student | 4 | 5% |
| Researcher | 3 | 4% |
| Lecturer > Senior Lecturer | 2 | 3% |
| Other | 10 | 14% |
| Unknown | 7 | 9% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 41 | 55% |
| Social Sciences | 11 | 15% |
| Arts and Humanities | 5 | 7% |
| Engineering | 3 | 4% |
| Psychology | 2 | 3% |
| Other | 2 | 3% |
| Unknown | 10 | 14% |
Attention Score in Context
This research output has an Altmetric Attention Score of 1. 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 November 2016.
All research outputs
#20,351,881
of 22,899,952 outputs
Outputs from Empirical Software Engineering
#624
of 706 outputs
Outputs of similar age
#239,220
of 285,421 outputs
Outputs of similar age from Empirical Software Engineering
#2
of 12 outputs
Altmetric has tracked 22,899,952 research outputs across all sources so far. This one is in the 1st percentile – i.e., 1% of other outputs scored the same or lower than it.
So far Altmetric has tracked 706 research outputs from this source. They receive a mean Attention Score of 4.8. This one is in the 1st percentile – i.e., 1% 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 285,421 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 12 others from the same source and published within six weeks on either side of this one. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.