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X Demographics
Mendeley readers
Attention Score in Context
Title |
Accelerating precision biology and medicine with computational biology and bioinformatics
|
---|---|
Published in |
Genome Biology, September 2014
|
DOI | 10.1186/s13059-014-0450-y |
Pubmed ID | |
Authors |
Yves A Lussier, Haiquan Li, Nima Pouladi, Qike Li |
Abstract |
A report on the 22nd Annual International Conference on Intelligent Systems for Molecular Biology, held in Boston, Massachusetts, USA, July 11-15, 2014. |
X Demographics
The data shown below were collected from the profiles of 11 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 States | 2 | 18% |
Canada | 1 | 9% |
Austria | 1 | 9% |
United Kingdom | 1 | 9% |
France | 1 | 9% |
Unknown | 5 | 45% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Scientists | 6 | 55% |
Members of the public | 4 | 36% |
Science communicators (journalists, bloggers, editors) | 1 | 9% |
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 % |
---|---|---|
Spain | 1 | 4% |
United States | 1 | 4% |
Italy | 1 | 4% |
Unknown | 23 | 88% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 9 | 35% |
Researcher | 4 | 15% |
Other | 3 | 12% |
Student > Bachelor | 2 | 8% |
Professor | 2 | 8% |
Other | 4 | 15% |
Unknown | 2 | 8% |
Readers by discipline | Count | As % |
---|---|---|
Agricultural and Biological Sciences | 7 | 27% |
Computer Science | 6 | 23% |
Medicine and Dentistry | 4 | 15% |
Biochemistry, Genetics and Molecular Biology | 2 | 8% |
Mathematics | 2 | 8% |
Other | 4 | 15% |
Unknown | 1 | 4% |
Attention Score in Context
This research output has an Altmetric Attention Score of 6. 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 01 October 2015.
All research outputs
#6,298,484
of 25,374,647 outputs
Outputs from Genome Biology
#3,031
of 4,467 outputs
Outputs of similar age
#57,992
of 250,102 outputs
Outputs of similar age from Genome Biology
#61
of 105 outputs
Altmetric has tracked 25,374,647 research outputs across all sources so far. Compared to these this one has done well and is in the 75th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 4,467 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 27.6. This one is in the 32nd percentile – i.e., 32% 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 250,102 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 76% of its contemporaries.
We're also able to compare this research output to 105 others from the same source and published within six weeks on either side of this one. This one is in the 41st percentile – i.e., 41% of its contemporaries scored the same or lower than it.