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Mendeley readers
Attention Score in Context
| Chapter title |
An Automatic Test Data Generation System Based on the Integrated Classification-Tree Methodology
|
|---|---|
| Chapter number | 18 |
| Book title |
Software Engineering Research and Applications
|
| Published in |
Lecture notes in computer science, June 2003
|
| DOI | 10.1007/978-3-540-24675-6_18 |
| Book ISBNs |
978-3-54-021975-0, 978-3-54-024675-6
|
| Authors |
Andrew Cain, Tsong Yueh Chen, Doug Grant, Pak-Lok Poon, Sau-Fun Tang, T. H. Tse |
Mendeley readers
The data shown below were compiled from readership statistics for 8 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Mexico | 1 | 13% |
| Unknown | 7 | 88% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 2 | 25% |
| Other | 1 | 13% |
| Student > Bachelor | 1 | 13% |
| Lecturer | 1 | 13% |
| Student > Master | 1 | 13% |
| Other | 1 | 13% |
| Unknown | 1 | 13% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 6 | 75% |
| Engineering | 1 | 13% |
| Unknown | 1 | 13% |
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 19 June 2014.
All research outputs
#7,454,951
of 22,792,160 outputs
Outputs from Lecture notes in computer science
#2,487
of 8,127 outputs
Outputs of similar age
#16,713
of 48,751 outputs
Outputs of similar age from Lecture notes in computer science
#11
of 29 outputs
Altmetric has tracked 22,792,160 research outputs across all sources so far. This one is in the 44th percentile – i.e., 44% of other outputs scored the same or lower than it.
So far Altmetric has tracked 8,127 research outputs from this source. They receive a mean Attention Score of 5.0. This one has gotten more attention than average, scoring higher than 55% 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 48,751 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 12th percentile – i.e., 12% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 29 others from the same source and published within six weeks on either side of this one. This one is in the 20th percentile – i.e., 20% of its contemporaries scored the same or lower than it.