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Mendeley readers
Attention Score in Context
| Title |
Filling the gap between biology and computer science
|
|---|---|
| Published in |
BioData Mining, July 2008
|
| DOI | 10.1186/1756-0381-1-1 |
| Pubmed ID | |
| Authors |
Jesús S Aguilar-Ruiz, Jason H Moore, Marylyn D Ritchie |
| Abstract |
This editorial introduces BioData Mining, a new journal which publishes research articles related to advances in computational methods and techniques for the extraction of useful knowledge from heterogeneous biological data. We outline the aims and scope of the journal, introduce the publishing model and describe the open peer review policy, which fosters interaction within the research community. |
Mendeley readers
The data shown below were compiled from readership statistics for 26 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Netherlands | 1 | 4% |
| Cuba | 1 | 4% |
| Hong Kong | 1 | 4% |
| United Kingdom | 1 | 4% |
| Mexico | 1 | 4% |
| United States | 1 | 4% |
| Poland | 1 | 4% |
| Unknown | 19 | 73% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 4 | 15% |
| Researcher | 4 | 15% |
| Professor > Associate Professor | 4 | 15% |
| Professor | 3 | 12% |
| Student > Bachelor | 2 | 8% |
| Other | 6 | 23% |
| Unknown | 3 | 12% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 10 | 38% |
| Medicine and Dentistry | 5 | 19% |
| Computer Science | 4 | 15% |
| Mathematics | 1 | 4% |
| Social Sciences | 1 | 4% |
| Other | 1 | 4% |
| Unknown | 4 | 15% |
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 20 August 2008.
All research outputs
#20,148,663
of 22,655,397 outputs
Outputs from BioData Mining
#288
of 307 outputs
Outputs of similar age
#64,502
of 67,154 outputs
Outputs of similar age from BioData Mining
#1
of 1 outputs
Altmetric has tracked 22,655,397 research outputs across all sources so far. This one is in the 1st percentile – i.e., 1% of other outputs scored the same or lower than it.
So far Altmetric has tracked 307 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 7.8. This one is in the 1st percentile – i.e., 1% 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 67,154 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 1st percentile – i.e., 1% 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