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Mendeley readers
Attention Score in Context
| Chapter title |
Black Holes and Revelations: Using Evolutionary Algorithms to Uncover Vulnerabilities in Disruption-Tolerant Networks
|
|---|---|
| Chapter number | 3 |
| Book title |
Applications of Evolutionary Computation
|
| Published in |
Lecture notes in computer science, March 2015
|
| DOI | 10.1007/978-3-319-16549-3_3 |
| Book ISBNs |
978-3-31-916548-6, 978-3-31-916549-3
|
| Authors |
Bucur, Doina, Iacca, Giovanni, Squillero, Giovanni, Tonda, Alberto, Doina Bucur, Giovanni Iacca, Giovanni Squillero, Alberto Tonda |
| Editors |
Mora, Antonio M., Squillero, Giovanni |
Mendeley readers
The data shown below were compiled from readership statistics for 11 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Switzerland | 1 | 9% |
| Unknown | 10 | 91% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 2 | 18% |
| Student > Ph. D. Student | 1 | 9% |
| Student > Bachelor | 1 | 9% |
| Student > Master | 1 | 9% |
| Professor > Associate Professor | 1 | 9% |
| Other | 0 | 0% |
| Unknown | 5 | 45% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 5 | 45% |
| Agricultural and Biological Sciences | 1 | 9% |
| Unknown | 5 | 45% |
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 01 June 2019.
All research outputs
#7,512,050
of 22,947,506 outputs
Outputs from Lecture notes in computer science
#2,488
of 8,133 outputs
Outputs of similar age
#98,161
of 286,853 outputs
Outputs of similar age from Lecture notes in computer science
#32
of 95 outputs
Altmetric has tracked 22,947,506 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 8,133 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 286,853 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 55% of its contemporaries.
We're also able to compare this research output to 95 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 52% of its contemporaries.