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X Demographics
Mendeley readers
Attention Score in Context
| Title |
New skin for the old RNA-Seq ceremony: the age of single-cell multi-omics
|
|---|---|
| Published in |
Genome Biology, August 2017
|
| DOI | 10.1186/s13059-017-1300-5 |
| Pubmed ID | |
| Authors |
Maayan Baron, Itai Yanai |
| Abstract |
New methods for simultaneously quantifying protein and gene expression at the single-cell level have the power to identify cell types and to classify cell populations. |
X Demographics
The data shown below were collected from the profiles of 16 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 | 7 | 44% |
| Australia | 1 | 6% |
| India | 1 | 6% |
| United Kingdom | 1 | 6% |
| France | 1 | 6% |
| Unknown | 5 | 31% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 8 | 50% |
| Scientists | 7 | 44% |
| Science communicators (journalists, bloggers, editors) | 1 | 6% |
Mendeley readers
The data shown below were compiled from readership statistics for 59 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 59 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 13 | 22% |
| Researcher | 9 | 15% |
| Student > Bachelor | 7 | 12% |
| Student > Master | 5 | 8% |
| Professor | 4 | 7% |
| Other | 11 | 19% |
| Unknown | 10 | 17% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 19 | 32% |
| Agricultural and Biological Sciences | 15 | 25% |
| Immunology and Microbiology | 5 | 8% |
| Medicine and Dentistry | 3 | 5% |
| Mathematics | 1 | 2% |
| Other | 4 | 7% |
| Unknown | 12 | 20% |
Attention Score in Context
This research output has an Altmetric Attention Score of 9. 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 18 October 2017.
All research outputs
#4,209,172
of 25,382,440 outputs
Outputs from Genome Biology
#2,635
of 4,468 outputs
Outputs of similar age
#68,548
of 324,941 outputs
Outputs of similar age from Genome Biology
#45
of 55 outputs
Altmetric has tracked 25,382,440 research outputs across all sources so far. Compared to these this one has done well and is in the 83rd percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 4,468 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 41st percentile – i.e., 41% 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 324,941 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 78% of its contemporaries.
We're also able to compare this research output to 55 others from the same source and published within six weeks on either side of this one. This one is in the 18th percentile – i.e., 18% of its contemporaries scored the same or lower than it.