| Title |
GLUE: a flexible software system for virus sequence data
|
|---|---|
| Published in |
BMC Bioinformatics, December 2018
|
| DOI | 10.1186/s12859-018-2459-9 |
| Pubmed ID | |
| Authors |
Joshua B. Singer, Emma C. Thomson, John McLauchlan, Joseph Hughes, Robert J. Gifford |
X Demographics
The data shown below were collected from the profiles of 28 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 Kingdom | 13 | 46% |
| Australia | 1 | 4% |
| South Africa | 1 | 4% |
| Brazil | 1 | 4% |
| France | 1 | 4% |
| Bosnia and Herzegovina | 1 | 4% |
| Canada | 1 | 4% |
| Unknown | 9 | 32% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 15 | 54% |
| Members of the public | 13 | 46% |
Mendeley readers
The data shown below were compiled from readership statistics for 103 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 103 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 22 | 21% |
| Researcher | 22 | 21% |
| Student > Master | 19 | 18% |
| Student > Bachelor | 10 | 10% |
| Other | 4 | 4% |
| Other | 10 | 10% |
| Unknown | 16 | 16% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 28 | 27% |
| Agricultural and Biological Sciences | 19 | 18% |
| Immunology and Microbiology | 11 | 11% |
| Medicine and Dentistry | 7 | 7% |
| Computer Science | 5 | 5% |
| Other | 13 | 13% |
| Unknown | 20 | 19% |
Attention Score in Context
This research output has an Altmetric Attention Score of 18. 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 09 February 2020.
All research outputs
#2,086,688
of 25,864,668 outputs
Outputs from BMC Bioinformatics
#444
of 7,760 outputs
Outputs of similar age
#45,644
of 446,329 outputs
Outputs of similar age from BMC Bioinformatics
#12
of 192 outputs
Altmetric has tracked 25,864,668 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 7,760 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.6. This one has done particularly well, scoring higher than 94% 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 446,329 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 89% of its contemporaries.
We're also able to compare this research output to 192 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 93% of its contemporaries.