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X Demographics
Mendeley readers
Attention Score in Context
| Title |
A framework for space-efficient read clustering in metagenomic samples
|
|---|---|
| Published in |
BMC Bioinformatics, March 2017
|
| DOI | 10.1186/s12859-017-1466-6 |
| Pubmed ID | |
| Authors |
Jarno Alanko, Fabio Cunial, Djamal Belazzougui, Veli Mäkinen |
X Demographics
The data shown below were collected from the profiles of 11 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Germany | 2 | 18% |
| Netherlands | 2 | 18% |
| France | 1 | 9% |
| Sweden | 1 | 9% |
| United Kingdom | 1 | 9% |
| Unknown | 4 | 36% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 6 | 55% |
| Members of the public | 5 | 45% |
Mendeley readers
The data shown below were compiled from readership statistics for 19 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Brazil | 2 | 11% |
| Unknown | 17 | 89% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 4 | 21% |
| Student > Bachelor | 3 | 16% |
| Professor | 2 | 11% |
| Researcher | 2 | 11% |
| Student > Master | 2 | 11% |
| Other | 3 | 16% |
| Unknown | 3 | 16% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 5 | 26% |
| Computer Science | 5 | 26% |
| Biochemistry, Genetics and Molecular Biology | 3 | 16% |
| Immunology and Microbiology | 2 | 11% |
| Chemical Engineering | 1 | 5% |
| Other | 0 | 0% |
| Unknown | 3 | 16% |
Attention Score in Context
This research output has an Altmetric Attention Score of 6. 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 April 2017.
All research outputs
#6,587,541
of 25,837,817 outputs
Outputs from BMC Bioinformatics
#2,172
of 7,763 outputs
Outputs of similar age
#96,614
of 324,141 outputs
Outputs of similar age from BMC Bioinformatics
#30
of 127 outputs
Altmetric has tracked 25,837,817 research outputs across all sources so far. This one has received more attention than most of these and is in the 74th percentile.
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 gotten more attention than average, scoring higher than 71% 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 324,141 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 69% of its contemporaries.
We're also able to compare this research output to 127 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 75% of its contemporaries.