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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Using Galaxy-P to leverage RNA-Seq for the discovery of novel protein variations
|
|---|---|
| Published in |
BMC Genomics, August 2014
|
| DOI | 10.1186/1471-2164-15-703 |
| Pubmed ID | |
| Authors |
Gloria M Sheynkman, James E Johnson, Pratik D Jagtap, Michael R Shortreed, Getiria Onsongo, Brian L Frey, Timothy J Griffin, Lloyd M Smith |
X Demographics
The data shown below were collected from the profiles of 13 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 | 5 | 38% |
| United Kingdom | 4 | 31% |
| France | 1 | 8% |
| Australia | 1 | 8% |
| Unknown | 2 | 15% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 9 | 69% |
| Scientists | 4 | 31% |
Mendeley readers
The data shown below were compiled from readership statistics for 111 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| France | 1 | <1% |
| Germany | 1 | <1% |
| Switzerland | 1 | <1% |
| Unknown | 108 | 97% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 26 | 23% |
| Student > Ph. D. Student | 23 | 21% |
| Student > Master | 16 | 14% |
| Other | 8 | 7% |
| Professor > Associate Professor | 8 | 7% |
| Other | 21 | 19% |
| Unknown | 9 | 8% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 35 | 32% |
| Agricultural and Biological Sciences | 31 | 28% |
| Computer Science | 11 | 10% |
| Medicine and Dentistry | 7 | 6% |
| Engineering | 4 | 4% |
| Other | 14 | 13% |
| Unknown | 9 | 8% |
Attention Score in Context
This research output has an Altmetric Attention Score of 19. 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 21 April 2017.
All research outputs
#1,946,864
of 26,017,215 outputs
Outputs from BMC Genomics
#421
of 11,367 outputs
Outputs of similar age
#19,499
of 251,322 outputs
Outputs of similar age from BMC Genomics
#13
of 265 outputs
Altmetric has tracked 26,017,215 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 91st percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 11,367 research outputs from this source. They receive a mean Attention Score of 4.9. This one has done particularly well, scoring higher than 96% 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 251,322 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 91% of its contemporaries.
We're also able to compare this research output to 265 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 95% of its contemporaries.