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X Demographics
Mendeley readers
Attention Score in Context
| Title |
SIEVE: joint inference of single-nucleotide variants and cell phylogeny from single-cell DNA sequencing data
|
|---|---|
| Published in |
Genome Biology, November 2022
|
| DOI | 10.1186/s13059-022-02813-9 |
| Pubmed ID | |
| Authors |
Senbai Kang, Nico Borgsmüller, Monica Valecha, Jack Kuipers, Joao M. Alves, Sonia Prado-López, Débora Chantada, Niko Beerenwinkel, David Posada, Ewa Szczurek |
X Demographics
The data shown below were collected from the profiles of 35 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 | 6 | 17% |
| France | 3 | 9% |
| India | 2 | 6% |
| Sweden | 2 | 6% |
| Australia | 1 | 3% |
| Germany | 1 | 3% |
| Mexico | 1 | 3% |
| Switzerland | 1 | 3% |
| Canada | 1 | 3% |
| Other | 4 | 11% |
| Unknown | 13 | 37% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 23 | 66% |
| Members of the public | 11 | 31% |
| Science communicators (journalists, bloggers, editors) | 1 | 3% |
Mendeley readers
The data shown below were compiled from readership statistics for 8 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 8 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 1 | 13% |
| Professor > Associate Professor | 1 | 13% |
| Student > Bachelor | 1 | 13% |
| Researcher | 1 | 13% |
| Unknown | 4 | 50% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 2 | 25% |
| Biochemistry, Genetics and Molecular Biology | 1 | 13% |
| Medicine and Dentistry | 1 | 13% |
| Unknown | 4 | 50% |
Attention Score in Context
This research output has an Altmetric Attention Score of 17. 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 20 February 2023.
All research outputs
#2,159,464
of 25,392,582 outputs
Outputs from Genome Biology
#1,805
of 4,470 outputs
Outputs of similar age
#45,587
of 486,670 outputs
Outputs of similar age from Genome Biology
#32
of 63 outputs
Altmetric has tracked 25,392,582 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 91st percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 4,470 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 gotten more attention than average, scoring higher than 59% 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 486,670 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 90% of its contemporaries.
We're also able to compare this research output to 63 others from the same source and published within six weeks on either side of this one. This one is in the 49th percentile – i.e., 49% of its contemporaries scored the same or lower than it.