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Timeline
Mendeley readers
Attention Score in Context
Title |
Applications of Evolutinary Computing
|
---|---|
Published by |
ADS, January 2007
|
DOI | 10.1007/978-3-540-71805-5 |
ISBNs |
978-3-54-071804-8, 978-3-54-071805-5
|
Authors |
Giacobini, Mario |
Editors |
Giacobini, Mario |
Mendeley readers
The data shown below were compiled from readership statistics for 260 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Spain | 5 | 2% |
Brazil | 5 | 2% |
Germany | 4 | 2% |
Portugal | 3 | 1% |
France | 2 | <1% |
United Kingdom | 2 | <1% |
Malaysia | 2 | <1% |
Australia | 2 | <1% |
Italy | 1 | <1% |
Other | 5 | 2% |
Unknown | 229 | 88% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 79 | 30% |
Student > Master | 61 | 23% |
Student > Bachelor | 27 | 10% |
Researcher | 24 | 9% |
Student > Doctoral Student | 14 | 5% |
Other | 47 | 18% |
Unknown | 8 | 3% |
Readers by discipline | Count | As % |
---|---|---|
Computer Science | 139 | 53% |
Engineering | 48 | 18% |
Agricultural and Biological Sciences | 11 | 4% |
Business, Management and Accounting | 10 | 4% |
Social Sciences | 5 | 2% |
Other | 29 | 11% |
Unknown | 18 | 7% |
Attention Score in Context
This research output has an Altmetric Attention Score of 4. 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 05 November 2020.
All research outputs
#7,241,383
of 22,886,568 outputs
Outputs from ADS
#9,059
of 37,403 outputs
Outputs of similar age
#41,333
of 157,094 outputs
Outputs of similar age from ADS
#126
of 429 outputs
Altmetric has tracked 22,886,568 research outputs across all sources so far. This one has received more attention than most of these and is in the 67th percentile.
So far Altmetric has tracked 37,403 research outputs from this source. They receive a mean Attention Score of 4.6. This one has done well, scoring higher than 75% 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 157,094 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 73% of its contemporaries.
We're also able to compare this research output to 429 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 69% of its contemporaries.