| Title |
Single-cell RNA counting at allele and isoform resolution using Smart-seq3
|
|---|---|
| Published in |
Nature Biotechnology, May 2020
|
| DOI | 10.1038/s41587-020-0497-0 |
| Pubmed ID | |
| Authors |
Michael Hagemann-Jensen, Christoph Ziegenhain, Ping Chen, Daniel Ramsköld, Gert-Jan Hendriks, Anton J. M. Larsson, Omid R. Faridani, Rickard Sandberg |
X Demographics
The data shown below were collected from the profiles of 308 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 | 73 | 24% |
| United Kingdom | 36 | 12% |
| Germany | 22 | 7% |
| Australia | 16 | 5% |
| Sweden | 11 | 4% |
| France | 9 | 3% |
| Canada | 8 | 3% |
| Spain | 5 | 2% |
| Brazil | 4 | 1% |
| Other | 35 | 11% |
| Unknown | 89 | 29% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 171 | 56% |
| Members of the public | 134 | 44% |
| Science communicators (journalists, bloggers, editors) | 2 | <1% |
| Practitioners (doctors, other healthcare professionals) | 1 | <1% |
Mendeley readers
The data shown below were compiled from readership statistics for 907 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 907 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 190 | 21% |
| Researcher | 169 | 19% |
| Student > Master | 81 | 9% |
| Student > Bachelor | 64 | 7% |
| Student > Doctoral Student | 42 | 5% |
| Other | 111 | 12% |
| Unknown | 250 | 28% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 298 | 33% |
| Agricultural and Biological Sciences | 139 | 15% |
| Medicine and Dentistry | 42 | 5% |
| Neuroscience | 41 | 5% |
| Immunology and Microbiology | 39 | 4% |
| Other | 84 | 9% |
| Unknown | 264 | 29% |
Attention Score in Context
This research output has an Altmetric Attention Score of 197. 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 17 January 2024.
All research outputs
#204,088
of 25,721,020 outputs
Outputs from Nature Biotechnology
#412
of 8,601 outputs
Outputs of similar age
#6,991
of 414,287 outputs
Outputs of similar age from Nature Biotechnology
#19
of 97 outputs
Altmetric has tracked 25,721,020 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 99th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 8,601 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 44.5. This one has done particularly well, scoring higher than 95% 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 414,287 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 98% of its contemporaries.
We're also able to compare this research output to 97 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 80% of its contemporaries.