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Mendeley readers
Attention Score in Context
| Title |
A Cost-Effective Random Testing Method for Programs with Non-Numeric Inputs
|
|---|---|
| Published in |
IEEE Transactions on Computers, November 2016
|
| DOI | 10.1109/tc.2016.2547380 |
| Authors |
Arlinta C. Barus, Tsong Yueh Chen, Fei-Ching Kuo, Huai Liu, Robert Merkel, Gregg Rothermel |
Mendeley readers
The data shown below were compiled from readership statistics for 24 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 1 | 4% |
| Unknown | 23 | 96% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 10 | 42% |
| Student > Master | 3 | 13% |
| Student > Bachelor | 2 | 8% |
| Librarian | 2 | 8% |
| Researcher | 2 | 8% |
| Other | 2 | 8% |
| Unknown | 3 | 13% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 19 | 79% |
| Agricultural and Biological Sciences | 1 | 4% |
| Engineering | 1 | 4% |
| Unknown | 3 | 13% |
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 28 April 2016.
All research outputs
#22,760,732
of 25,377,790 outputs
Outputs from IEEE Transactions on Computers
#3,002
of 3,059 outputs
Outputs of similar age
#277,557
of 317,474 outputs
Outputs of similar age from IEEE Transactions on Computers
#24
of 25 outputs
Altmetric has tracked 25,377,790 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 3,059 research outputs from this source. They receive a mean Attention Score of 4.3. 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 317,474 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 25 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.