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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Schema: metric learning enables interpretable synthesis of heterogeneous single-cell modalities
|
|---|---|
| Published in |
Genome Biology, May 2021
|
| DOI | 10.1186/s13059-021-02313-2 |
| Pubmed ID | |
| Authors |
Rohit Singh, Brian L. Hie, Ashwin Narayan, Bonnie Berger |
X Demographics
The data shown below were collected from the profiles of 37 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 | 14 | 38% |
| Germany | 2 | 5% |
| India | 2 | 5% |
| United Kingdom | 2 | 5% |
| Portugal | 1 | 3% |
| Sweden | 1 | 3% |
| Turkey | 1 | 3% |
| South Africa | 1 | 3% |
| Italy | 1 | 3% |
| Other | 1 | 3% |
| Unknown | 11 | 30% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 19 | 51% |
| Members of the public | 17 | 46% |
| Science communicators (journalists, bloggers, editors) | 1 | 3% |
Mendeley readers
The data shown below were compiled from readership statistics for 67 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 67 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 15 | 22% |
| Researcher | 7 | 10% |
| Student > Master | 6 | 9% |
| Student > Bachelor | 3 | 4% |
| Student > Doctoral Student | 3 | 4% |
| Other | 6 | 9% |
| Unknown | 27 | 40% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 17 | 25% |
| Computer Science | 11 | 16% |
| Agricultural and Biological Sciences | 3 | 4% |
| Engineering | 3 | 4% |
| Mathematics | 1 | 1% |
| Other | 4 | 6% |
| Unknown | 28 | 42% |
Attention Score in Context
This research output has an Altmetric Attention Score of 27. 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 July 2021.
All research outputs
#1,439,845
of 25,387,668 outputs
Outputs from Genome Biology
#1,148
of 4,470 outputs
Outputs of similar age
#37,972
of 453,654 outputs
Outputs of similar age from Genome Biology
#31
of 93 outputs
Altmetric has tracked 25,387,668 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 94th percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 4,470 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 gotten more attention than average, scoring higher than 74% 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 453,654 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 91% of its contemporaries.
We're also able to compare this research output to 93 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 66% of its contemporaries.