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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Interactive metagenomic visualization in a Web browser
|
|---|---|
| Published in |
BMC Bioinformatics, September 2011
|
| DOI | 10.1186/1471-2105-12-385 |
| Pubmed ID | |
| Authors |
Brian D Ondov, Nicholas H Bergman, Adam M Phillippy |
| Abstract |
A critical output of metagenomic studies is the estimation of abundances of taxonomical or functional groups. The inherent uncertainty in assignments to these groups makes it important to consider both their hierarchical contexts and their prediction confidence. The current tools for visualizing metagenomic data, however, omit or distort quantitative hierarchical relationships and lack the facility for displaying secondary variables. |
X Demographics
The data shown below were collected from the profiles of 14 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 | 3 | 21% |
| United Kingdom | 2 | 14% |
| Sweden | 1 | 7% |
| Canada | 1 | 7% |
| Unknown | 7 | 50% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 10 | 71% |
| Scientists | 4 | 29% |
Mendeley readers
The data shown below were compiled from readership statistics for 1,565 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 19 | 1% |
| Brazil | 6 | <1% |
| Germany | 6 | <1% |
| United Kingdom | 6 | <1% |
| France | 5 | <1% |
| Spain | 5 | <1% |
| Sweden | 5 | <1% |
| Denmark | 4 | <1% |
| Canada | 4 | <1% |
| Other | 20 | 1% |
| Unknown | 1485 | 95% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 313 | 20% |
| Researcher | 264 | 17% |
| Student > Master | 205 | 13% |
| Student > Bachelor | 171 | 11% |
| Student > Doctoral Student | 97 | 6% |
| Other | 213 | 14% |
| Unknown | 302 | 19% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 500 | 32% |
| Biochemistry, Genetics and Molecular Biology | 308 | 20% |
| Environmental Science | 87 | 6% |
| Immunology and Microbiology | 71 | 5% |
| Computer Science | 63 | 4% |
| Other | 178 | 11% |
| Unknown | 358 | 23% |
Attention Score in Context
This research output has an Altmetric Attention Score of 46. 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 03 March 2024.
All research outputs
#925,063
of 25,837,817 outputs
Outputs from BMC Bioinformatics
#63
of 7,763 outputs
Outputs of similar age
#3,726
of 146,165 outputs
Outputs of similar age from BMC Bioinformatics
#1
of 86 outputs
Altmetric has tracked 25,837,817 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 96th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 7,763 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 99% 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 146,165 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 96% of its contemporaries.
We're also able to compare this research output to 86 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 98% of its contemporaries.