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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Cobolt: integrative analysis of multimodal single-cell sequencing data
|
|---|---|
| Published in |
Genome Biology, December 2021
|
| DOI | 10.1186/s13059-021-02556-z |
| Pubmed ID | |
| Authors |
Boying Gong, Yun Zhou, Elizabeth Purdom |
X Demographics
The data shown below were collected from the profiles of 57 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 | 12 | 21% |
| India | 4 | 7% |
| United Kingdom | 3 | 5% |
| Italy | 3 | 5% |
| Germany | 3 | 5% |
| Sweden | 2 | 4% |
| France | 2 | 4% |
| Switzerland | 1 | 2% |
| Hong Kong | 1 | 2% |
| Other | 6 | 11% |
| Unknown | 20 | 35% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 30 | 53% |
| Scientists | 25 | 44% |
| Science communicators (journalists, bloggers, editors) | 1 | 2% |
| Practitioners (doctors, other healthcare professionals) | 1 | 2% |
Mendeley readers
The data shown below were compiled from readership statistics for 54 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 54 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 12 | 22% |
| Researcher | 8 | 15% |
| Student > Bachelor | 3 | 6% |
| Other | 2 | 4% |
| Student > Postgraduate | 2 | 4% |
| Other | 6 | 11% |
| Unknown | 21 | 39% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 12 | 22% |
| Computer Science | 7 | 13% |
| Agricultural and Biological Sciences | 6 | 11% |
| Mathematics | 4 | 7% |
| Veterinary Science and Veterinary Medicine | 1 | 2% |
| Other | 2 | 4% |
| Unknown | 22 | 41% |
Attention Score in Context
This research output has an Altmetric Attention Score of 28. 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 15 April 2022.
All research outputs
#1,389,380
of 25,392,582 outputs
Outputs from Genome Biology
#1,093
of 4,470 outputs
Outputs of similar age
#34,113
of 515,120 outputs
Outputs of similar age from Genome Biology
#41
of 91 outputs
Altmetric has tracked 25,392,582 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 done well, scoring higher than 75% 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 515,120 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 93% of its contemporaries.
We're also able to compare this research output to 91 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 54% of its contemporaries.