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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Genomic DNA k-mer spectra: models and modalities
|
|---|---|
| Published in |
Genome Biology, October 2009
|
| DOI | 10.1186/gb-2009-10-10-r108 |
| Pubmed ID | |
| Authors |
Benny Chor, David Horn, Nick Goldman, Yaron Levy, Tim Massingham |
| Abstract |
The empirical frequencies of DNA k-mers in whole genome sequences provide an interesting perspective on genomic complexity, and the availability of large segments of genomic sequence from many organisms means that analysis of k-mers with non-trivial lengths is now possible. |
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 % |
|---|---|---|
| Netherlands | 1 | 33% |
| Unknown | 2 | 67% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 2 | 67% |
| Scientists | 1 | 33% |
Mendeley readers
The data shown below were compiled from readership statistics for 377 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 14 | 4% |
| Germany | 6 | 2% |
| Australia | 5 | 1% |
| Brazil | 4 | 1% |
| United Kingdom | 3 | <1% |
| Argentina | 3 | <1% |
| France | 3 | <1% |
| Italy | 2 | <1% |
| Chile | 2 | <1% |
| Other | 12 | 3% |
| Unknown | 323 | 86% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 100 | 27% |
| Student > Ph. D. Student | 90 | 24% |
| Student > Master | 48 | 13% |
| Student > Bachelor | 25 | 7% |
| Professor > Associate Professor | 19 | 5% |
| Other | 57 | 15% |
| Unknown | 38 | 10% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 177 | 47% |
| Biochemistry, Genetics and Molecular Biology | 73 | 19% |
| Computer Science | 47 | 12% |
| Mathematics | 9 | 2% |
| Engineering | 5 | 1% |
| Other | 24 | 6% |
| Unknown | 42 | 11% |
Attention Score in Context
This research output has an Altmetric Attention Score of 8. 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 23 June 2021.
All research outputs
#4,369,297
of 25,373,627 outputs
Outputs from Genome Biology
#2,690
of 4,467 outputs
Outputs of similar age
#17,178
of 106,809 outputs
Outputs of similar age from Genome Biology
#13
of 39 outputs
Altmetric has tracked 25,373,627 research outputs across all sources so far. Compared to these this one has done well and is in the 82nd percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 4,467 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 27.6. This one is in the 39th percentile – i.e., 39% 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 106,809 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 83% of its contemporaries.
We're also able to compare this research output to 39 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 66% of its contemporaries.