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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Computational Intelligence Methods for Bioinformatics and Biostatistics
|
|---|---|
| Published by |
Lecture notes in computer science, January 2015
|
| DOI | 10.1007/978-3-319-24462-4 |
| ISBNs |
978-3-31-924461-7, 978-3-31-924462-4
|
| Authors |
Clelia DI Serio, Pietro Liò, Alessandro Nonis, Roberto Tagliaferri |
| Editors |
DI Serio, Clelia, Liò, Pietro, Nonis, Alessandro, Tagliaferri, Roberto |
X Demographics
The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Canada | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 15 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 15 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 1 | 7% |
| Student > Postgraduate | 1 | 7% |
| Unknown | 13 | 87% |
| Readers by discipline | Count | As % |
|---|---|---|
| Pharmacology, Toxicology and Pharmaceutical Science | 1 | 7% |
| Engineering | 1 | 7% |
| Unknown | 13 | 87% |
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 06 April 2022.
All research outputs
#7,207,626
of 23,500,709 outputs
Outputs from Lecture notes in computer science
#2,297
of 8,135 outputs
Outputs of similar age
#97,269
of 356,429 outputs
Outputs of similar age from Lecture notes in computer science
#106
of 258 outputs
Altmetric has tracked 23,500,709 research outputs across all sources so far. This one has received more attention than most of these and is in the 68th percentile.
So far Altmetric has tracked 8,135 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.1. This one has gotten more attention than average, scoring higher than 70% 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 356,429 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 71% of its contemporaries.
We're also able to compare this research output to 258 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 58% of its contemporaries.