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Mendeley readers
Attention Score in Context
| Chapter title |
Machine Learning: An Indispensable Tool in Bioinformatics
|
|---|---|
| Chapter number | 2 |
| Book title |
Bioinformatics Methods in Clinical Research
|
| Published in |
Methods in molecular biology, January 2010
|
| DOI | 10.1007/978-1-60327-194-3_2 |
| Pubmed ID | |
| Book ISBNs |
978-1-60327-193-6, 978-1-60327-194-3
|
| Authors |
Iñaki Inza, Borja Calvo, Rubén Armañanzas, Endika Bengoetxea, Pedro Larrañaga, José A. Lozano, Inza, Iñaki, Calvo, Borja, Armañanzas, Rubén, Bengoetxea, Endika, Larrañaga, Pedro, Lozano, José A. |
Mendeley readers
The data shown below were compiled from readership statistics for 114 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 2 | 2% |
| Spain | 2 | 2% |
| Netherlands | 1 | <1% |
| Colombia | 1 | <1% |
| Germany | 1 | <1% |
| Denmark | 1 | <1% |
| Unknown | 106 | 93% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 29 | 25% |
| Researcher | 17 | 15% |
| Student > Master | 15 | 13% |
| Student > Bachelor | 9 | 8% |
| Student > Postgraduate | 6 | 5% |
| Other | 20 | 18% |
| Unknown | 18 | 16% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 33 | 29% |
| Biochemistry, Genetics and Molecular Biology | 16 | 14% |
| Agricultural and Biological Sciences | 15 | 13% |
| Medicine and Dentistry | 8 | 7% |
| Engineering | 7 | 6% |
| Other | 12 | 11% |
| Unknown | 23 | 20% |
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 11 November 2019.
All research outputs
#15,505,836
of 23,043,346 outputs
Outputs from Methods in molecular biology
#5,403
of 13,194 outputs
Outputs of similar age
#135,521
of 165,021 outputs
Outputs of similar age from Methods in molecular biology
#88
of 120 outputs
Altmetric has tracked 23,043,346 research outputs across all sources so far. This one is in the 22nd percentile – i.e., 22% of other outputs scored the same or lower than it.
So far Altmetric has tracked 13,194 research outputs from this source. They receive a mean Attention Score of 3.4. This one is in the 44th percentile – i.e., 44% 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 165,021 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 8th percentile – i.e., 8% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 120 others from the same source and published within six weeks on either side of this one. This one is in the 20th percentile – i.e., 20% of its contemporaries scored the same or lower than it.