| Title |
Joint probabilistic modeling of single-cell multi-omic data with totalVI
|
|---|---|
| Published in |
Nature Methods, February 2021
|
| DOI | 10.1038/s41592-020-01050-x |
| Pubmed ID | |
| Authors |
Adam Gayoso, Zoë Steier, Romain Lopez, Jeffrey Regier, Kristopher L. Nazor, Aaron Streets, Nir Yosef |
X Demographics
The data shown below were collected from the profiles of 93 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 | 30 | 32% |
| United Kingdom | 5 | 5% |
| Germany | 5 | 5% |
| Italy | 4 | 4% |
| Spain | 4 | 4% |
| Hong Kong | 3 | 3% |
| Australia | 2 | 2% |
| France | 2 | 2% |
| Japan | 1 | 1% |
| Other | 10 | 11% |
| Unknown | 27 | 29% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 52 | 56% |
| Members of the public | 39 | 42% |
| Practitioners (doctors, other healthcare professionals) | 2 | 2% |
Mendeley readers
The data shown below were compiled from readership statistics for 277 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 277 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 65 | 23% |
| Researcher | 48 | 17% |
| Student > Master | 23 | 8% |
| Student > Bachelor | 20 | 7% |
| Professor > Associate Professor | 8 | 3% |
| Other | 22 | 8% |
| Unknown | 91 | 33% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 64 | 23% |
| Computer Science | 31 | 11% |
| Agricultural and Biological Sciences | 28 | 10% |
| Immunology and Microbiology | 21 | 8% |
| Engineering | 12 | 4% |
| Other | 30 | 11% |
| Unknown | 91 | 33% |
Attention Score in Context
This research output has an Altmetric Attention Score of 49. 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 19 January 2023.
All research outputs
#871,394
of 26,017,215 outputs
Outputs from Nature Methods
#1,147
of 5,401 outputs
Outputs of similar age
#27,137
of 568,393 outputs
Outputs of similar age from Nature Methods
#30
of 86 outputs
Altmetric has tracked 26,017,215 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 95th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 5,401 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 36.7. This one has done well, scoring higher than 78% 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 568,393 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 95% of its contemporaries.
We're also able to compare this research output to 86 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 65% of its contemporaries.