You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output.
Click here to find out more.
X Demographics
Mendeley readers
Attention Score in Context
| Title |
STRling: a k-mer counting approach that detects short tandem repeat expansions at known and novel loci
|
|---|---|
| Published in |
Genome Biology, December 2022
|
| DOI | 10.1186/s13059-022-02826-4 |
| Pubmed ID | |
| Authors |
Harriet Dashnow, Brent S. Pedersen, Laurel Hiatt, Joe Brown, Sarah J. Beecroft, Gianina Ravenscroft, Amy J. LaCroix, Phillipa Lamont, Richard H. Roxburgh, Miriam J. Rodrigues, Mark Davis, Heather C. Mefford, Nigel G. Laing, Aaron R. Quinlan |
X Demographics
The data shown below were collected from the profiles of 85 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 | 24 | 28% |
| United Kingdom | 6 | 7% |
| Australia | 5 | 6% |
| Germany | 3 | 4% |
| Sweden | 2 | 2% |
| China | 2 | 2% |
| France | 2 | 2% |
| Netherlands | 2 | 2% |
| India | 2 | 2% |
| Other | 6 | 7% |
| Unknown | 31 | 36% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 48 | 56% |
| Members of the public | 34 | 40% |
| Science communicators (journalists, bloggers, editors) | 3 | 4% |
Mendeley readers
The data shown below were compiled from readership statistics for 26 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 26 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 7 | 27% |
| Student > Ph. D. Student | 5 | 19% |
| Student > Bachelor | 2 | 8% |
| Student > Master | 2 | 8% |
| Other | 1 | 4% |
| Other | 1 | 4% |
| Unknown | 8 | 31% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 10 | 38% |
| Agricultural and Biological Sciences | 3 | 12% |
| Computer Science | 2 | 8% |
| Environmental Science | 1 | 4% |
| Immunology and Microbiology | 1 | 4% |
| Other | 1 | 4% |
| Unknown | 8 | 31% |
Attention Score in Context
This research output has an Altmetric Attention Score of 49. 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 February 2024.
All research outputs
#864,021
of 25,563,770 outputs
Outputs from Genome Biology
#573
of 4,491 outputs
Outputs of similar age
#19,323
of 482,458 outputs
Outputs of similar age from Genome Biology
#7
of 61 outputs
Altmetric has tracked 25,563,770 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 96th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 4,491 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 27.6. This one has done well, scoring higher than 87% 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 482,458 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 95% of its contemporaries.
We're also able to compare this research output to 61 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 90% of its contemporaries.