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X Demographics
Mendeley readers
Attention Score in Context
Title |
scSNV-seq: high-throughput phenotyping of single nucleotide variants by coupled single-cell genotyping and transcriptomics
|
---|---|
Published in |
Genome Biology, January 2024
|
DOI | 10.1186/s13059-024-03169-y |
Pubmed ID | |
Authors |
Sarah E. Cooper, Matthew A. Coelho, Magdalena E. Strauss, Aleksander M. Gontarczyk, Qianxin Wu, Mathew J. Garnett, John C. Marioni, Andrew R. Bassett |
X Demographics
The data shown below were collected from the profiles of 42 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 Kingdom | 10 | 24% |
United States | 8 | 19% |
Germany | 2 | 5% |
France | 1 | 2% |
Spain | 1 | 2% |
Nigeria | 1 | 2% |
Italy | 1 | 2% |
Czechia | 1 | 2% |
Australia | 1 | 2% |
Other | 1 | 2% |
Unknown | 15 | 36% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Scientists | 24 | 57% |
Members of the public | 15 | 36% |
Science communicators (journalists, bloggers, editors) | 2 | 5% |
Unknown | 1 | 2% |
Mendeley readers
The data shown below were compiled from readership statistics for 13 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 13 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 4 | 31% |
Researcher | 2 | 15% |
Professor > Associate Professor | 2 | 15% |
Student > Master | 1 | 8% |
Student > Doctoral Student | 1 | 8% |
Other | 2 | 15% |
Unknown | 1 | 8% |
Readers by discipline | Count | As % |
---|---|---|
Biochemistry, Genetics and Molecular Biology | 6 | 46% |
Agricultural and Biological Sciences | 3 | 23% |
Pharmacology, Toxicology and Pharmaceutical Science | 1 | 8% |
Physics and Astronomy | 1 | 8% |
Unknown | 2 | 15% |
Attention Score in Context
This research output has an Altmetric Attention Score of 84. 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 23 April 2024.
All research outputs
#523,889
of 25,971,360 outputs
Outputs from Genome Biology
#293
of 4,549 outputs
Outputs of similar age
#8,279
of 363,099 outputs
Outputs of similar age from Genome Biology
#2
of 74 outputs
Altmetric has tracked 25,971,360 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 97th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 4,549 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 particularly well, scoring higher than 93% 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 363,099 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 97% of its contemporaries.
We're also able to compare this research output to 74 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 97% of its contemporaries.