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X Demographics
Mendeley readers
Attention Score in Context
Chapter title |
In Silico Infection of the Human Genome
|
---|---|
Chapter number | 22 |
Book title |
Evolutionary Computation, Machine Learning and Data Mining in Bioinformatics
|
Published in |
arXiv, June 2011
|
DOI | 10.1007/978-3-642-29066-4_22 |
Book ISBNs |
978-3-64-229065-7, 978-3-64-229066-4
|
Authors |
W. B. Langdon, M. J. Arno |
X Demographics
The data shown below were collected from the profiles of 7 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
Country | Count | As % |
---|---|---|
United Kingdom | 1 | 14% |
Japan | 1 | 14% |
Unknown | 5 | 71% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 6 | 86% |
Scientists | 1 | 14% |
Mendeley readers
The data shown below were compiled from readership statistics for 9 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Italy | 1 | 11% |
Malta | 1 | 11% |
Unknown | 7 | 78% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 2 | 22% |
Researcher | 2 | 22% |
Student > Master | 2 | 22% |
Student > Bachelor | 1 | 11% |
Lecturer > Senior Lecturer | 1 | 11% |
Other | 1 | 11% |
Readers by discipline | Count | As % |
---|---|---|
Computer Science | 5 | 56% |
Biochemistry, Genetics and Molecular Biology | 1 | 11% |
Arts and Humanities | 1 | 11% |
Agricultural and Biological Sciences | 1 | 11% |
Engineering | 1 | 11% |
Other | 0 | 0% |
Attention Score in Context
This research output has an Altmetric Attention Score of 22. 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 28 May 2021.
All research outputs
#1,612,486
of 24,317,326 outputs
Outputs from arXiv
#26,056
of 1,032,685 outputs
Outputs of similar age
#6,938
of 118,282 outputs
Outputs of similar age from arXiv
#45
of 1,713 outputs
Altmetric has tracked 24,317,326 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 93rd percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,032,685 research outputs from this source. They receive a mean Attention Score of 4.0. This one has done particularly well, scoring higher than 97% 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 118,282 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 94% of its contemporaries.
We're also able to compare this research output to 1,713 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 97% of its contemporaries.