| Title |
Bloom Filter Trie: an alignment-free and reference-free data structure for pan-genome storage
|
|---|---|
| Published in |
Algorithms for Molecular Biology, April 2016
|
| DOI | 10.1186/s13015-016-0066-8 |
| Pubmed ID | |
| Authors |
Guillaume Holley, Roland Wittler, Jens Stoye |
X Demographics
The data shown below were collected from the profiles of 18 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| France | 4 | 22% |
| United States | 2 | 11% |
| Norway | 1 | 6% |
| Canada | 1 | 6% |
| Germany | 1 | 6% |
| Iceland | 1 | 6% |
| Unknown | 8 | 44% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 11 | 61% |
| Members of the public | 7 | 39% |
Mendeley readers
The data shown below were compiled from readership statistics for 79 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| France | 3 | 4% |
| Norway | 2 | 3% |
| Sweden | 1 | 1% |
| Unknown | 73 | 92% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 21 | 27% |
| Researcher | 18 | 23% |
| Student > Master | 11 | 14% |
| Student > Bachelor | 6 | 8% |
| Professor | 4 | 5% |
| Other | 10 | 13% |
| Unknown | 9 | 11% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 32 | 41% |
| Agricultural and Biological Sciences | 16 | 20% |
| Biochemistry, Genetics and Molecular Biology | 12 | 15% |
| Engineering | 3 | 4% |
| Medicine and Dentistry | 2 | 3% |
| Other | 3 | 4% |
| Unknown | 11 | 14% |
Attention Score in Context
This research output has an Altmetric Attention Score of 13. 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 13 February 2024.
All research outputs
#2,785,641
of 25,837,817 outputs
Outputs from Algorithms for Molecular Biology
#13
of 268 outputs
Outputs of similar age
#43,429
of 317,291 outputs
Outputs of similar age from Algorithms for Molecular Biology
#2
of 14 outputs
Altmetric has tracked 25,837,817 research outputs across all sources so far. Compared to these this one has done well and is in the 88th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 268 research outputs from this source. They receive a mean Attention Score of 3.3. This one has done particularly well, scoring higher than 94% 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 317,291 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 86% of its contemporaries.
We're also able to compare this research output to 14 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 85% of its contemporaries.