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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Compareads: comparing huge metagenomic experiments
|
|---|---|
| Published in |
BMC Bioinformatics, December 2012
|
| DOI | 10.1186/1471-2105-13-s19-s10 |
| Pubmed ID | |
| Authors |
Nicolas Maillet, Claire Lemaitre, Rayan Chikhi, Dominique Lavenier, Pierre Peterlongo |
| Abstract |
Nowadays, metagenomic sample analyses are mainly achieved by comparing them with a priori knowledge stored in data banks. While powerful, such approaches do not allow to exploit unknown and/or "unculturable" species, for instance estimated at 99% for Bacteria. |
X Demographics
The data shown below were collected from the profiles of 10 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 | 30% |
| France | 2 | 20% |
| Canada | 1 | 10% |
| Unknown | 4 | 40% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 9 | 90% |
| Members of the public | 1 | 10% |
Mendeley readers
The data shown below were compiled from readership statistics for 105 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 3 | 3% |
| France | 2 | 2% |
| Netherlands | 1 | <1% |
| Germany | 1 | <1% |
| Portugal | 1 | <1% |
| Brazil | 1 | <1% |
| Italy | 1 | <1% |
| Japan | 1 | <1% |
| Taiwan | 1 | <1% |
| Other | 0 | 0% |
| Unknown | 93 | 89% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 30 | 29% |
| Student > Ph. D. Student | 22 | 21% |
| Student > Master | 13 | 12% |
| Other | 10 | 10% |
| Student > Bachelor | 7 | 7% |
| Other | 17 | 16% |
| Unknown | 6 | 6% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 51 | 49% |
| Biochemistry, Genetics and Molecular Biology | 16 | 15% |
| Computer Science | 13 | 12% |
| Environmental Science | 4 | 4% |
| Medicine and Dentistry | 4 | 4% |
| Other | 8 | 8% |
| Unknown | 9 | 9% |
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 21 March 2020.
All research outputs
#4,829,724
of 25,658,139 outputs
Outputs from BMC Bioinformatics
#1,703
of 7,734 outputs
Outputs of similar age
#46,446
of 289,733 outputs
Outputs of similar age from BMC Bioinformatics
#24
of 134 outputs
Altmetric has tracked 25,658,139 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 7,734 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 well, scoring higher than 77% 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 289,733 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 83% of its contemporaries.
We're also able to compare this research output to 134 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 82% of its contemporaries.