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X Demographics
Mendeley readers
Attention Score in Context
| Title |
FastGT: an alignment-free method for calling common SNVs directly from raw sequencing reads
|
|---|---|
| Published in |
Scientific Reports, May 2017
|
| DOI | 10.1038/s41598-017-02487-5 |
| Pubmed ID | |
| Authors |
Fanny-Dhelia Pajuste, Lauris Kaplinski, Märt Möls, Tarmo Puurand, Maarja Lepamets, Maido Remm |
X Demographics
The data shown below were collected from the profiles of 6 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 | 4 | 67% |
| Germany | 1 | 17% |
| Unknown | 1 | 17% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 3 | 50% |
| Members of the public | 3 | 50% |
Mendeley readers
The data shown below were compiled from readership statistics for 66 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| France | 1 | 2% |
| Unknown | 65 | 98% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 21 | 32% |
| Student > Ph. D. Student | 12 | 18% |
| Student > Bachelor | 11 | 17% |
| Other | 4 | 6% |
| Student > Postgraduate | 4 | 6% |
| Other | 8 | 12% |
| Unknown | 6 | 9% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 20 | 30% |
| Biochemistry, Genetics and Molecular Biology | 12 | 18% |
| Computer Science | 11 | 17% |
| Medicine and Dentistry | 4 | 6% |
| Environmental Science | 2 | 3% |
| Other | 7 | 11% |
| Unknown | 10 | 15% |
Attention Score in Context
This research output has an Altmetric Attention Score of 6. 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 28 September 2023.
All research outputs
#5,611,796
of 26,017,215 outputs
Outputs from Scientific Reports
#43,615
of 142,961 outputs
Outputs of similar age
#90,263
of 334,277 outputs
Outputs of similar age from Scientific Reports
#1,158
of 3,958 outputs
Altmetric has tracked 26,017,215 research outputs across all sources so far. Compared to these this one has done well and is in the 75th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 142,961 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 18.8. This one has gotten more attention than average, scoring higher than 69% 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 334,277 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 71% of its contemporaries.
We're also able to compare this research output to 3,958 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 70% of its contemporaries.