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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Fulgor: a fast and compact k-mer index for large-scale matching and color queries
|
|---|---|
| Published in |
Algorithms for Molecular Biology, January 2024
|
| DOI | 10.1186/s13015-024-00251-9 |
| Pubmed ID | |
| Authors |
Jason Fan, Jamshed Khan, Noor Pratap Singh, Giulio Ermanno Pibiri, Rob Patro |
X Demographics
The data shown below were collected from the profiles of 9 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 | 2 | 22% |
| Unknown | 7 | 78% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 5 | 56% |
| Members of the public | 3 | 33% |
| Science communicators (journalists, bloggers, editors) | 1 | 11% |
Mendeley readers
The data shown below were compiled from readership statistics for 5 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 5 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 1 | 20% |
| Other | 1 | 20% |
| Student > Master | 1 | 20% |
| Unknown | 2 | 40% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 1 | 20% |
| Computer Science | 1 | 20% |
| Immunology and Microbiology | 1 | 20% |
| Unknown | 2 | 40% |
Attention Score in Context
This research output has an Altmetric Attention Score of 5. 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 24 January 2024.
All research outputs
#7,227,053
of 25,223,158 outputs
Outputs from Algorithms for Molecular Biology
#60
of 263 outputs
Outputs of similar age
#39,779
of 153,390 outputs
Outputs of similar age from Algorithms for Molecular Biology
#1
of 3 outputs
Altmetric has tracked 25,223,158 research outputs across all sources so far. This one has received more attention than most of these and is in the 71st percentile.
So far Altmetric has tracked 263 research outputs from this source. They receive a mean Attention Score of 3.2. This one has done well, scoring higher than 77% 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 153,390 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 73% of its contemporaries.
We're also able to compare this research output to 3 others from the same source and published within six weeks on either side of this one. This one has scored higher than all of them