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X Demographics
Mendeley readers
Attention Score in Context
| Title |
An I/O Efficient Approach for Detecting All Accepting Cycles
|
|---|---|
| Published in |
IEEE Transactions on Software Engineering, August 2015
|
| DOI | 10.1109/tse.2015.2411284 |
| Authors |
Lijun Wu, Kaile Su, Shaowei Cai, Xiaosong Zhang, Chenyi Zhang, Shupeng Wang |
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 % |
|---|---|---|
| Members of the public | 2 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 20 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 20 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 4 | 20% |
| Student > Ph. D. Student | 3 | 15% |
| Researcher | 2 | 10% |
| Professor | 1 | 5% |
| Unknown | 10 | 50% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 6 | 30% |
| Engineering | 5 | 25% |
| Unknown | 9 | 45% |
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 21 August 2015.
All research outputs
#19,942,887
of 25,371,288 outputs
Outputs from IEEE Transactions on Software Engineering
#5,422
of 6,368 outputs
Outputs of similar age
#189,026
of 275,894 outputs
Outputs of similar age from IEEE Transactions on Software Engineering
#42
of 77 outputs
Altmetric has tracked 25,371,288 research outputs across all sources so far. This one is in the 18th percentile – i.e., 18% 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 14th percentile – i.e., 14% 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 275,894 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 26th percentile – i.e., 26% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 77 others from the same source and published within six weeks on either side of this one. This one is in the 38th percentile – i.e., 38% of its contemporaries scored the same or lower than it.