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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Graph-based clustering and characterization of repetitive sequences in next-generation sequencing data
|
|---|---|
| Published in |
BMC Bioinformatics, July 2010
|
| DOI | 10.1186/1471-2105-11-378 |
| Pubmed ID | |
| Authors |
Petr Novák, Pavel Neumann, Jiří Macas |
X Demographics
The data shown below were collected from the profiles of 3 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 Kingdom | 1 | 33% |
| United States | 1 | 33% |
| Unknown | 1 | 33% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 2 | 67% |
| Members of the public | 1 | 33% |
Mendeley readers
The data shown below were compiled from readership statistics for 431 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Brazil | 10 | 2% |
| United States | 9 | 2% |
| Germany | 4 | <1% |
| Italy | 3 | <1% |
| France | 3 | <1% |
| United Kingdom | 3 | <1% |
| Norway | 2 | <1% |
| India | 2 | <1% |
| Netherlands | 2 | <1% |
| Other | 13 | 3% |
| Unknown | 380 | 88% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 107 | 25% |
| Student > Ph. D. Student | 88 | 20% |
| Student > Master | 52 | 12% |
| Student > Bachelor | 39 | 9% |
| Student > Doctoral Student | 23 | 5% |
| Other | 67 | 16% |
| Unknown | 55 | 13% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 234 | 54% |
| Biochemistry, Genetics and Molecular Biology | 74 | 17% |
| Computer Science | 23 | 5% |
| Engineering | 12 | 3% |
| Environmental Science | 5 | 1% |
| Other | 18 | 4% |
| Unknown | 65 | 15% |
Attention Score in Context
This research output has an Altmetric Attention Score of 5. 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 14 July 2016.
All research outputs
#6,981,937
of 26,017,215 outputs
Outputs from BMC Bioinformatics
#2,388
of 7,793 outputs
Outputs of similar age
#33,680
of 109,109 outputs
Outputs of similar age from BMC Bioinformatics
#23
of 59 outputs
Altmetric has tracked 26,017,215 research outputs across all sources so far. This one has received more attention than most of these and is in the 72nd percentile.
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 gotten more attention than average, scoring higher than 68% 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 109,109 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 68% of its contemporaries.
We're also able to compare this research output to 59 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 61% of its contemporaries.