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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Fast lossless compression via cascading Bloom filters
|
|---|---|
| Published in |
BMC Bioinformatics, September 2014
|
| DOI | 10.1186/1471-2105-15-s9-s7 |
| Pubmed ID | |
| Authors |
Roye Rozov, Ron Shamir, Eran Halperin |
X Demographics
The data shown below were collected from the profiles of 12 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 | 2 | 17% |
| France | 1 | 8% |
| United States | 1 | 8% |
| New Zealand | 1 | 8% |
| Israel | 1 | 8% |
| Unknown | 6 | 50% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 8 | 67% |
| Members of the public | 4 | 33% |
Mendeley readers
The data shown below were compiled from readership statistics for 32 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 3 | 9% |
| Germany | 1 | 3% |
| Unknown | 28 | 88% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 11 | 34% |
| Student > Ph. D. Student | 10 | 31% |
| Professor | 3 | 9% |
| Student > Master | 3 | 9% |
| Other | 1 | 3% |
| Other | 1 | 3% |
| Unknown | 3 | 9% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 12 | 38% |
| Agricultural and Biological Sciences | 8 | 25% |
| Engineering | 3 | 9% |
| Nursing and Health Professions | 1 | 3% |
| Biochemistry, Genetics and Molecular Biology | 1 | 3% |
| Other | 2 | 6% |
| Unknown | 5 | 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 16 December 2014.
All research outputs
#5,137,082
of 24,287,598 outputs
Outputs from BMC Bioinformatics
#1,893
of 7,511 outputs
Outputs of similar age
#51,085
of 243,486 outputs
Outputs of similar age from BMC Bioinformatics
#37
of 116 outputs
Altmetric has tracked 24,287,598 research outputs across all sources so far. Compared to these this one has done well and is in the 75th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 7,511 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 gotten more attention than average, scoring higher than 73% 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 243,486 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 77% of its contemporaries.
We're also able to compare this research output to 116 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 68% of its contemporaries.