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X Demographics
Mendeley readers
Attention Score in Context
Title |
Conquering computational challenges of omics data and post-ENCODE paradigms
|
---|---|
Published in |
Genome Biology, August 2013
|
DOI | 10.1186/gb-2013-14-8-310 |
Pubmed ID | |
Authors |
Yves A Lussier, Haiquan Li, Mark Maienschein-Cline |
Abstract |
A report on the 21st Annual International Conference on Intelligent Systems for Molecular Biology (ISMB) and 12th European Conference on Computational Biology (ECCB), held in Berlin, Germany, July 21-23, 2013. |
X Demographics
The data shown below were collected from the profiles of 9 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 | 22% |
Sweden | 1 | 11% |
United Kingdom | 1 | 11% |
France | 1 | 11% |
Switzerland | 1 | 11% |
Unknown | 3 | 33% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 4 | 44% |
Scientists | 4 | 44% |
Science communicators (journalists, bloggers, editors) | 1 | 11% |
Mendeley readers
The data shown below were compiled from readership statistics for 27 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% |
Sweden | 1 | 4% |
Switzerland | 1 | 4% |
Unknown | 23 | 85% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Researcher | 12 | 44% |
Student > Ph. D. Student | 6 | 22% |
Student > Doctoral Student | 2 | 7% |
Student > Bachelor | 1 | 4% |
Professor | 1 | 4% |
Other | 2 | 7% |
Unknown | 3 | 11% |
Readers by discipline | Count | As % |
---|---|---|
Agricultural and Biological Sciences | 15 | 56% |
Computer Science | 3 | 11% |
Biochemistry, Genetics and Molecular Biology | 2 | 7% |
Mathematics | 1 | 4% |
Immunology and Microbiology | 1 | 4% |
Other | 2 | 7% |
Unknown | 3 | 11% |
Attention Score in Context
This research output has an Altmetric Attention Score of 13. 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 15 September 2014.
All research outputs
#2,895,683
of 25,736,439 outputs
Outputs from Genome Biology
#2,201
of 4,509 outputs
Outputs of similar age
#24,207
of 211,677 outputs
Outputs of similar age from Genome Biology
#19
of 50 outputs
Altmetric has tracked 25,736,439 research outputs across all sources so far. Compared to these this one has done well and is in the 88th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 4,509 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 27.6. This one has gotten more attention than average, scoring higher than 51% 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 211,677 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 88% of its contemporaries.
We're also able to compare this research output to 50 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 62% of its contemporaries.