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Mendeley readers
Attention Score in Context
Chapter title |
A Machine Learning Methodology for Enzyme Functional Classification Combining Structural and Protein Sequence Descriptors
|
---|---|
Chapter number | 63 |
Book title |
Bioinformatics and Biomedical Engineering
|
Published in |
Lecture notes in computer science, January 2016
|
DOI | 10.1007/978-3-319-31744-1_63 |
Book ISBNs |
978-3-31-931743-4, 978-3-31-931744-1
|
Authors |
Afshine Amidi, Shervine Amidi, Dimitrios Vlachakis, Nikos Paragios, Evangelia I. Zacharaki |
Editors |
Francisco Ortuño, Ignacio Rojas |
Mendeley readers
The data shown below were compiled from readership statistics for 39 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 39 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 8 | 21% |
Student > Bachelor | 5 | 13% |
Student > Master | 3 | 8% |
Professor | 2 | 5% |
Other | 1 | 3% |
Other | 4 | 10% |
Unknown | 16 | 41% |
Readers by discipline | Count | As % |
---|---|---|
Biochemistry, Genetics and Molecular Biology | 5 | 13% |
Computer Science | 4 | 10% |
Engineering | 4 | 10% |
Agricultural and Biological Sciences | 4 | 10% |
Unspecified | 1 | 3% |
Other | 3 | 8% |
Unknown | 18 | 46% |
Attention Score in Context
This research output has an Altmetric Attention Score of 7. 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 02 September 2016.
All research outputs
#4,188,124
of 22,867,327 outputs
Outputs from Lecture notes in computer science
#989
of 8,127 outputs
Outputs of similar age
#71,832
of 393,648 outputs
Outputs of similar age from Lecture notes in computer science
#147
of 581 outputs
Altmetric has tracked 22,867,327 research outputs across all sources so far. Compared to these this one has done well and is in the 80th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 8,127 research outputs from this source. They receive a mean Attention Score of 5.0. This one has done well, scoring higher than 82% 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 393,648 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 80% of its contemporaries.
We're also able to compare this research output to 581 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 68% of its contemporaries.