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X Demographics
Mendeley readers
Attention Score in Context
| Title |
A review of estimation of distribution algorithms in bioinformatics
|
|---|---|
| Published in |
BioData Mining, September 2008
|
| DOI | 10.1186/1756-0381-1-6 |
| Pubmed ID | |
| Authors |
Rubén Armañanzas, Iñaki Inza, Roberto Santana, Yvan Saeys, Jose Luis Flores, Jose Antonio Lozano, Yves Van de Peer, Rosa Blanco, Víctor Robles, Concha Bielza, Pedro Larrañaga |
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 130 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 5 | 4% |
| Spain | 4 | 3% |
| Australia | 3 | 2% |
| Brazil | 2 | 2% |
| Malaysia | 1 | <1% |
| Cuba | 1 | <1% |
| Sweden | 1 | <1% |
| Belgium | 1 | <1% |
| Colombia | 1 | <1% |
| Other | 4 | 3% |
| Unknown | 107 | 82% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 36 | 28% |
| Student > Master | 27 | 21% |
| Researcher | 16 | 12% |
| Professor | 9 | 7% |
| Professor > Associate Professor | 9 | 7% |
| Other | 25 | 19% |
| Unknown | 8 | 6% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 59 | 45% |
| Agricultural and Biological Sciences | 31 | 24% |
| Engineering | 9 | 7% |
| Mathematics | 4 | 3% |
| Biochemistry, Genetics and Molecular Biology | 4 | 3% |
| Other | 11 | 8% |
| Unknown | 12 | 9% |
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 22 April 2016.
All research outputs
#20,009,861
of 24,588,574 outputs
Outputs from BioData Mining
#271
of 318 outputs
Outputs of similar age
#87,087
of 93,930 outputs
Outputs of similar age from BioData Mining
#1
of 1 outputs
Altmetric has tracked 24,588,574 research outputs across all sources so far. This one is in the 10th percentile – i.e., 10% of other outputs scored the same or lower than it.
So far Altmetric has tracked 318 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 7.5. This one is in the 6th percentile – i.e., 6% 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 93,930 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 3rd percentile – i.e., 3% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 1 others from the same source and published within six weeks on either side of this one. This one has scored higher than all of them