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X Demographics
Mendeley readers
Attention Score in Context
| Title |
STAMP: statistical analysis of taxonomic and functional profiles
|
|---|---|
| Published in |
Bioinformatics, July 2014
|
| DOI | 10.1093/bioinformatics/btu494 |
| Pubmed ID | |
| Authors |
Donovan H Parks, Gene W Tyson, Philip Hugenholtz, Robert G Beiko |
X Demographics
The data shown below were collected from the profiles of 17 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 | 29% |
| Cameroon | 1 | 6% |
| Spain | 1 | 6% |
| China | 1 | 6% |
| Sweden | 1 | 6% |
| Norway | 1 | 6% |
| India | 1 | 6% |
| Unknown | 6 | 35% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 12 | 71% |
| Members of the public | 5 | 29% |
Mendeley readers
The data shown below were compiled from readership statistics for 1,560 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 5 | <1% |
| France | 4 | <1% |
| Germany | 3 | <1% |
| Canada | 3 | <1% |
| Sweden | 2 | <1% |
| Netherlands | 2 | <1% |
| Estonia | 2 | <1% |
| Brazil | 2 | <1% |
| United Kingdom | 2 | <1% |
| Other | 7 | <1% |
| Unknown | 1528 | 98% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 367 | 24% |
| Researcher | 262 | 17% |
| Student > Master | 201 | 13% |
| Student > Bachelor | 124 | 8% |
| Student > Doctoral Student | 109 | 7% |
| Other | 176 | 11% |
| Unknown | 321 | 21% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 518 | 33% |
| Biochemistry, Genetics and Molecular Biology | 243 | 16% |
| Environmental Science | 124 | 8% |
| Immunology and Microbiology | 77 | 5% |
| Medicine and Dentistry | 53 | 3% |
| Other | 155 | 10% |
| Unknown | 390 | 25% |
Attention Score in Context
This research output has an Altmetric Attention Score of 8. 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 22 September 2016.
All research outputs
#4,733,749
of 25,837,817 outputs
Outputs from Bioinformatics
#4,130
of 12,966 outputs
Outputs of similar age
#42,908
of 243,375 outputs
Outputs of similar age from Bioinformatics
#93
of 260 outputs
Altmetric has tracked 25,837,817 research outputs across all sources so far. Compared to these this one has done well and is in the 81st percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 12,966 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 8.2. This one has gotten more attention than average, scoring higher than 67% 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 243,375 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 81% of its contemporaries.
We're also able to compare this research output to 260 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 63% of its contemporaries.