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Mendeley readers
Attention Score in Context
| Title |
Advanced Intelligent Computing Theories and Applications. With Aspects of Theoretical and Methodological Issues
|
|---|---|
| Published by |
Lecture notes in computer science, January 2008
|
| DOI | 10.1007/978-3-540-87442-3 |
| ISBNs |
978-3-54-087440-9, 978-3-54-087442-3
|
| Editors |
De-Shuang Huang, Donald C. WunschII, Daniel S. Levine, Kang-Hyun Jo |
Mendeley readers
The data shown below were compiled from readership statistics for 29 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United Kingdom | 2 | 7% |
| Israel | 1 | 3% |
| Italy | 1 | 3% |
| Spain | 1 | 3% |
| Japan | 1 | 3% |
| Unknown | 23 | 79% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 9 | 31% |
| Researcher | 7 | 24% |
| Student > Master | 6 | 21% |
| Student > Doctoral Student | 2 | 7% |
| Professor | 2 | 7% |
| Other | 3 | 10% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 13 | 45% |
| Engineering | 9 | 31% |
| Agricultural and Biological Sciences | 2 | 7% |
| Neuroscience | 1 | 3% |
| Business, Management and Accounting | 1 | 3% |
| Other | 0 | 0% |
| Unknown | 3 | 10% |
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 22 April 2015.
All research outputs
#7,478,822
of 22,862,742 outputs
Outputs from Lecture notes in computer science
#2,486
of 8,127 outputs
Outputs of similar age
#41,798
of 156,404 outputs
Outputs of similar age from Lecture notes in computer science
#38
of 85 outputs
Altmetric has tracked 22,862,742 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 156,404 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 18th percentile – i.e., 18% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 85 others from the same source and published within six weeks on either side of this one. This one is in the 35th percentile – i.e., 35% of its contemporaries scored the same or lower than it.