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Mendeley readers
Attention Score in Context
| Title |
Intelligent Data Engineering and Automated Learning
|
|---|---|
| Published by |
Lecture notes in computer science, January 2003
|
| DOI | 10.1007/b11717 |
| ISBNs |
978-3-54-040550-4, 978-3-54-045080-1
|
| Authors |
Jiming Liu, Yiu-ming Cheung, Hujun Yin |
| Editors |
Liu, Jiming, Cheung, Yiu-ming, Yin, Hujun |
Mendeley readers
The data shown below were compiled from readership statistics for 12 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Indonesia | 1 | 8% |
| Unknown | 11 | 92% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 4 | 33% |
| Student > Postgraduate | 3 | 25% |
| Student > Master | 2 | 17% |
| Lecturer > Senior Lecturer | 1 | 8% |
| Unspecified | 1 | 8% |
| Other | 1 | 8% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 10 | 83% |
| Unspecified | 1 | 8% |
| Engineering | 1 | 8% |
Attention Score in Context
This research output has an Altmetric Attention Score of 7. 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 April 2021.
All research outputs
#4,183,555
of 22,846,662 outputs
Outputs from Lecture notes in computer science
#989
of 8,126 outputs
Outputs of similar age
#12,838
of 129,302 outputs
Outputs of similar age from Lecture notes in computer science
#22
of 91 outputs
Altmetric has tracked 22,846,662 research outputs across all sources so far. Compared to these this one has done well and is in the 80th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 8,126 research outputs from this source. They receive a mean Attention Score of 5.0. This one has done well, scoring higher than 82% 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 129,302 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 89% of its contemporaries.
We're also able to compare this research output to 91 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 74% of its contemporaries.