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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Strainer: software for analysis of population variation in community genomic datasets
|
|---|---|
| Published in |
BMC Bioinformatics, October 2007
|
| DOI | 10.1186/1471-2105-8-398 |
| Pubmed ID | |
| Authors |
John M Eppley, Gene W Tyson, Wayne M Getz, Jillian F Banfield |
X Demographics
The data shown below were collected from the profiles of 3 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 | 1 | 33% |
| Unknown | 2 | 67% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 2 | 67% |
| Scientists | 1 | 33% |
Mendeley readers
The data shown below were compiled from readership statistics for 123 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 12 | 10% |
| Denmark | 2 | 2% |
| Spain | 2 | 2% |
| France | 1 | <1% |
| Belgium | 1 | <1% |
| Brazil | 1 | <1% |
| Germany | 1 | <1% |
| United Kingdom | 1 | <1% |
| Unknown | 102 | 83% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 34 | 28% |
| Student > Ph. D. Student | 29 | 24% |
| Professor > Associate Professor | 17 | 14% |
| Student > Doctoral Student | 7 | 6% |
| Student > Master | 7 | 6% |
| Other | 18 | 15% |
| Unknown | 11 | 9% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 71 | 58% |
| Computer Science | 9 | 7% |
| Environmental Science | 7 | 6% |
| Biochemistry, Genetics and Molecular Biology | 7 | 6% |
| Immunology and Microbiology | 5 | 4% |
| Other | 9 | 7% |
| Unknown | 15 | 12% |
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 07 March 2014.
All research outputs
#2,667,949
of 25,463,724 outputs
Outputs from BMC Bioinformatics
#728
of 7,704 outputs
Outputs of similar age
#6,324
of 88,464 outputs
Outputs of similar age from BMC Bioinformatics
#4
of 53 outputs
Altmetric has tracked 25,463,724 research outputs across all sources so far. Compared to these this one has done well and is in the 89th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 7,704 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.5. This one has done particularly well, scoring higher than 90% 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 88,464 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 92% of its contemporaries.
We're also able to compare this research output to 53 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 94% of its contemporaries.