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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Efficient computation of absent words in genomic sequences
|
|---|---|
| Published in |
BMC Bioinformatics, March 2008
|
| DOI | 10.1186/1471-2105-9-167 |
| Pubmed ID | |
| Authors |
Julia Herold, Stefan Kurtz, Robert Giegerich |
X Demographics
The data shown below were collected from the profiles of 7 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 States | 1 | 14% |
| Norway | 1 | 14% |
| New Zealand | 1 | 14% |
| Canada | 1 | 14% |
| Unknown | 3 | 43% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 5 | 71% |
| Members of the public | 2 | 29% |
Mendeley readers
The data shown below were compiled from readership statistics for 57 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United Kingdom | 1 | 2% |
| United States | 1 | 2% |
| Brazil | 1 | 2% |
| Unknown | 54 | 95% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 16 | 28% |
| Researcher | 16 | 28% |
| Other | 8 | 14% |
| Student > Master | 5 | 9% |
| Professor > Associate Professor | 3 | 5% |
| Other | 8 | 14% |
| Unknown | 1 | 2% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 19 | 33% |
| Agricultural and Biological Sciences | 17 | 30% |
| Computer Science | 6 | 11% |
| Mathematics | 4 | 7% |
| Chemistry | 3 | 5% |
| Other | 6 | 11% |
| Unknown | 2 | 4% |
Attention Score in Context
This research output has an Altmetric Attention Score of 3. 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 31 May 2017.
All research outputs
#12,724,899
of 22,947,506 outputs
Outputs from BMC Bioinformatics
#3,610
of 7,308 outputs
Outputs of similar age
#66,606
of 81,645 outputs
Outputs of similar age from BMC Bioinformatics
#33
of 48 outputs
Altmetric has tracked 22,947,506 research outputs across all sources so far. This one is in the 44th percentile – i.e., 44% of other outputs scored the same or lower than it.
So far Altmetric has tracked 7,308 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.4. This one has gotten more attention than average, scoring higher than 50% 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 81,645 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 18th percentile – i.e., 18% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 48 others from the same source and published within six weeks on either side of this one. This one is in the 31st percentile – i.e., 31% of its contemporaries scored the same or lower than it.