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X Demographics
Mendeley readers
Attention Score in Context
Title |
SNES makes sense? Single-cell exome sequencing evolves
|
---|---|
Published in |
Genome Biology, April 2015
|
DOI | 10.1186/s13059-015-0650-0 |
Pubmed ID | |
Authors |
Thierry Voet, Peter Van Loo |
Abstract |
Technologies for single-cell sequencing are improving steadily. A recent study describes a new method for interrogating all coding sequences of the human genome at single-cell resolution.See related research by Leung et al., http://genomebiology.com/2015/16/1/55. |
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 % |
---|---|---|
Austria | 1 | 17% |
India | 1 | 17% |
United Kingdom | 1 | 17% |
Unknown | 3 | 50% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 4 | 67% |
Scientists | 1 | 17% |
Science communicators (journalists, bloggers, editors) | 1 | 17% |
Mendeley readers
The data shown below were compiled from readership statistics for 51 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
United Kingdom | 3 | 6% |
Unknown | 48 | 94% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Researcher | 20 | 39% |
Student > Ph. D. Student | 15 | 29% |
Student > Postgraduate | 4 | 8% |
Professor > Associate Professor | 3 | 6% |
Lecturer > Senior Lecturer | 2 | 4% |
Other | 4 | 8% |
Unknown | 3 | 6% |
Readers by discipline | Count | As % |
---|---|---|
Biochemistry, Genetics and Molecular Biology | 18 | 35% |
Agricultural and Biological Sciences | 18 | 35% |
Medicine and Dentistry | 4 | 8% |
Computer Science | 3 | 6% |
Immunology and Microbiology | 1 | 2% |
Other | 3 | 6% |
Unknown | 4 | 8% |
Attention Score in Context
This research output has an Altmetric Attention Score of 3. 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 30 May 2015.
All research outputs
#14,387,928
of 25,373,627 outputs
Outputs from Genome Biology
#3,817
of 4,467 outputs
Outputs of similar age
#128,034
of 278,755 outputs
Outputs of similar age from Genome Biology
#67
of 71 outputs
Altmetric has tracked 25,373,627 research outputs across all sources so far. This one is in the 42nd percentile – i.e., 42% of other outputs scored the same or lower than it.
So far Altmetric has tracked 4,467 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 27.6. This one is in the 13th percentile – i.e., 13% of its peers scored the same or lower than it.
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 278,755 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 53% of its contemporaries.
We're also able to compare this research output to 71 others from the same source and published within six weeks on either side of this one. This one is in the 5th percentile – i.e., 5% of its contemporaries scored the same or lower than it.