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Mendeley readers
Attention Score in Context
| Chapter title |
A New Memetic Algorithm for Multi-document Summarization Based on CHC Algorithm and Greedy Search
|
|---|---|
| Chapter number | 14 |
| Book title |
Human-Inspired Computing and Its Applications
|
| Published in |
Lecture notes in computer science, January 2014
|
| DOI | 10.1007/978-3-319-13647-9_14 |
| Book ISBNs |
978-3-31-913646-2, 978-3-31-913647-9
|
| Authors |
Martha Mendoza, Carlos Cobos, Elizabeth León, Manuel Lozano, Francisco Rodríguez, Enrique Herrera-Viedma |
| Editors |
Alexander Gelbukh, Félix Castro Espinoza, Sofía N. Galicia-Haro |
Mendeley readers
The data shown below were compiled from readership statistics for 20 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 20 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Professor | 4 | 20% |
| Student > Master | 3 | 15% |
| Student > Bachelor | 2 | 10% |
| Researcher | 2 | 10% |
| Student > Ph. D. Student | 2 | 10% |
| Other | 3 | 15% |
| Unknown | 4 | 20% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 12 | 60% |
| Engineering | 2 | 10% |
| Linguistics | 1 | 5% |
| Unknown | 5 | 25% |
Attention Score in Context
This research output has an Altmetric Attention Score of 1. 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 13 May 2016.
All research outputs
#20,326,948
of 22,870,727 outputs
Outputs from Lecture notes in computer science
#6,989
of 8,127 outputs
Outputs of similar age
#265,189
of 305,631 outputs
Outputs of similar age from Lecture notes in computer science
#236
of 280 outputs
Altmetric has tracked 22,870,727 research outputs across all sources so far. This one is in the 1st percentile – i.e., 1% 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 is in the 1st percentile – i.e., 1% of its peers scored the same or lower than it.
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 305,631 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 280 others from the same source and published within six weeks on either side of this one. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.