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X Demographics
Mendeley readers
Attention Score in Context
| Title |
LocusTrack: Integrated visualization of GWAS results and genomic annotation
|
|---|---|
| Published in |
Source Code for Biology and Medicine, February 2015
|
| DOI | 10.1186/s13029-015-0032-8 |
| Pubmed ID | |
| Authors |
Gabriel Cuellar-Partida, Miguel E Renteria, Stuart MacGregor |
| Abstract |
Genome-wide association studies (GWAS) are an important tool for the mapping of complex traits and diseases. Visual inspection of genomic annotations may be used to generate insights into the biological mechanisms underlying GWAS-identified loci. |
X Demographics
The data shown below were collected from the profiles of 4 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| France | 1 | 25% |
| Unknown | 3 | 75% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 2 | 50% |
| Members of the public | 2 | 50% |
Mendeley readers
The data shown below were compiled from readership statistics for 39 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Australia | 2 | 5% |
| New Zealand | 1 | 3% |
| Unknown | 36 | 92% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 12 | 31% |
| Student > Ph. D. Student | 9 | 23% |
| Professor > Associate Professor | 5 | 13% |
| Student > Doctoral Student | 2 | 5% |
| Student > Postgraduate | 2 | 5% |
| Other | 4 | 10% |
| Unknown | 5 | 13% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 12 | 31% |
| Biochemistry, Genetics and Molecular Biology | 8 | 21% |
| Medicine and Dentistry | 7 | 18% |
| Computer Science | 4 | 10% |
| Mathematics | 1 | 3% |
| Other | 2 | 5% |
| Unknown | 5 | 13% |
Attention Score in Context
This research output has an Altmetric Attention Score of 3. 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 28 March 2015.
All research outputs
#14,048,597
of 24,224,854 outputs
Outputs from Source Code for Biology and Medicine
#59
of 127 outputs
Outputs of similar age
#176,541
of 360,651 outputs
Outputs of similar age from Source Code for Biology and Medicine
#1
of 6 outputs
Altmetric has tracked 24,224,854 research outputs across all sources so far. This one is in the 41st percentile – i.e., 41% of other outputs scored the same or lower than it.
So far Altmetric has tracked 127 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 8.1. This one has gotten more attention than average, scoring higher than 53% 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 360,651 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 50% of its contemporaries.
We're also able to compare this research output to 6 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