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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Querying large read collections in main memory: a versatile data structure
|
|---|---|
| Published in |
BMC Bioinformatics, June 2011
|
| DOI | 10.1186/1471-2105-12-242 |
| Pubmed ID | |
| Authors |
Nicolas Philippe, Mikaël Salson, Thierry Lecroq, Martine Léonard, Thérèse Commes, Eric Rivals |
X Demographics
The data shown below were collected from the profiles of 4 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 4 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 3 | 75% |
| Scientists | 1 | 25% |
Mendeley readers
The data shown below were compiled from readership statistics for 137 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 7 | 5% |
| France | 5 | 4% |
| Italy | 4 | 3% |
| Brazil | 4 | 3% |
| Germany | 3 | 2% |
| Sweden | 2 | 1% |
| Denmark | 1 | <1% |
| Russia | 1 | <1% |
| China | 1 | <1% |
| Other | 2 | 1% |
| Unknown | 107 | 78% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 41 | 30% |
| Student > Ph. D. Student | 24 | 18% |
| Student > Master | 17 | 12% |
| Student > Bachelor | 11 | 8% |
| Professor | 10 | 7% |
| Other | 30 | 22% |
| Unknown | 4 | 3% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 62 | 45% |
| Computer Science | 34 | 25% |
| Biochemistry, Genetics and Molecular Biology | 14 | 10% |
| Mathematics | 5 | 4% |
| Engineering | 4 | 3% |
| Other | 10 | 7% |
| Unknown | 8 | 6% |
Attention Score in Context
This research output has an Altmetric Attention Score of 2. 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 28 August 2012.
All research outputs
#14,545,770
of 23,294,050 outputs
Outputs from BMC Bioinformatics
#4,817
of 7,378 outputs
Outputs of similar age
#80,775
of 115,351 outputs
Outputs of similar age from BMC Bioinformatics
#69
of 99 outputs
Altmetric has tracked 23,294,050 research outputs across all sources so far. This one is in the 35th percentile – i.e., 35% of other outputs scored the same or lower than it.
So far Altmetric has tracked 7,378 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.4. This one is in the 30th percentile – i.e., 30% of its peers scored the same or lower than it.
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 115,351 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 28th percentile – i.e., 28% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 99 others from the same source and published within six weeks on either side of this one. This one is in the 27th percentile – i.e., 27% of its contemporaries scored the same or lower than it.