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Mendeley readers
Attention Score in Context
| Title |
Knowledge-Based and Intelligent Information and Engineering Systems
|
|---|---|
| Published by |
Lecture notes in computer science, January 2010
|
| DOI | 10.1007/978-3-642-15393-8 |
| ISBNs |
978-3-64-215392-1, 978-3-64-215393-8
|
| Authors |
Rossitza Setchi, Ivan Jordanov, Robert J. Howlett, Lakhmi C. Jain |
| Editors |
Rossitza Setchi, Ivan Jordanov, Robert J. Howlett, Lakhmi C. Jain |
Mendeley readers
The data shown below were compiled from readership statistics for 156 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 156 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 2 | 1% |
| Student > Ph. D. Student | 1 | <1% |
| Unknown | 153 | 98% |
| Readers by discipline | Count | As % |
|---|---|---|
| Business, Management and Accounting | 2 | 1% |
| Economics, Econometrics and Finance | 1 | <1% |
| Unknown | 153 | 98% |
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 December 2018.
All research outputs
#7,474,859
of 22,851,489 outputs
Outputs from Lecture notes in computer science
#2,487
of 8,126 outputs
Outputs of similar age
#48,458
of 164,069 outputs
Outputs of similar age from Lecture notes in computer science
#44
of 188 outputs
Altmetric has tracked 22,851,489 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 8,126 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 54% 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 164,069 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 22nd percentile – i.e., 22% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 188 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 60% of its contemporaries.