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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Reference-free compression of high throughput sequencing data with a probabilistic de Bruijn graph
|
|---|---|
| Published in |
BMC Bioinformatics, September 2015
|
| DOI | 10.1186/s12859-015-0709-7 |
| Pubmed ID | |
| Authors |
Gaëtan Benoit, Claire Lemaitre, Dominique Lavenier, Erwan Drezen, Thibault Dayris, Raluca Uricaru, Guillaume Rizk |
X Demographics
The data shown below were collected from the profiles of 18 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| France | 2 | 11% |
| Israel | 1 | 6% |
| United States | 1 | 6% |
| United Kingdom | 1 | 6% |
| Italy | 1 | 6% |
| Sao Tome and Principe | 1 | 6% |
| Unknown | 11 | 61% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 12 | 67% |
| Scientists | 6 | 33% |
Mendeley readers
The data shown below were compiled from readership statistics for 74 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Brazil | 2 | 3% |
| Colombia | 1 | 1% |
| Israel | 1 | 1% |
| Czechia | 1 | 1% |
| Canada | 1 | 1% |
| Russia | 1 | 1% |
| Spain | 1 | 1% |
| Unknown | 66 | 89% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 17 | 23% |
| Researcher | 16 | 22% |
| Student > Master | 11 | 15% |
| Student > Bachelor | 6 | 8% |
| Student > Doctoral Student | 3 | 4% |
| Other | 10 | 14% |
| Unknown | 11 | 15% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 22 | 30% |
| Computer Science | 19 | 26% |
| Biochemistry, Genetics and Molecular Biology | 11 | 15% |
| Engineering | 6 | 8% |
| Earth and Planetary Sciences | 1 | 1% |
| Other | 1 | 1% |
| Unknown | 14 | 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 02 March 2016.
All research outputs
#2,082,773
of 25,837,817 outputs
Outputs from BMC Bioinformatics
#449
of 7,793 outputs
Outputs of similar age
#27,272
of 284,336 outputs
Outputs of similar age from BMC Bioinformatics
#7
of 126 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 91st percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 7,793 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 93% 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 284,336 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 126 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.