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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Integration of single-cell multi-omics data by regression analysis on unpaired observations
|
|---|---|
| Published in |
Genome Biology, July 2022
|
| DOI | 10.1186/s13059-022-02726-7 |
| Pubmed ID | |
| Authors |
Qiuyue Yuan, Zhana Duren |
X Demographics
The data shown below were collected from the profiles of 20 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 | 35% |
| United Kingdom | 2 | 10% |
| Italy | 2 | 10% |
| Australia | 1 | 5% |
| Germany | 1 | 5% |
| Sweden | 1 | 5% |
| Unknown | 6 | 30% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 10 | 50% |
| Members of the public | 9 | 45% |
| Science communicators (journalists, bloggers, editors) | 1 | 5% |
Mendeley readers
The data shown below were compiled from readership statistics for 27 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 27 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 6 | 22% |
| Researcher | 3 | 11% |
| Student > Postgraduate | 2 | 7% |
| Professor | 2 | 7% |
| Lecturer | 1 | 4% |
| Other | 4 | 15% |
| Unknown | 9 | 33% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 6 | 22% |
| Computer Science | 3 | 11% |
| Medicine and Dentistry | 2 | 7% |
| Agricultural and Biological Sciences | 2 | 7% |
| Unspecified | 1 | 4% |
| Other | 2 | 7% |
| Unknown | 11 | 41% |
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 01 August 2022.
All research outputs
#4,250,966
of 25,476,463 outputs
Outputs from Genome Biology
#2,646
of 4,480 outputs
Outputs of similar age
#83,602
of 435,737 outputs
Outputs of similar age from Genome Biology
#44
of 58 outputs
Altmetric has tracked 25,476,463 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 4,480 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 40th percentile – i.e., 40% 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 435,737 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 80% of its contemporaries.
We're also able to compare this research output to 58 others from the same source and published within six weeks on either side of this one. This one is in the 25th percentile – i.e., 25% of its contemporaries scored the same or lower than it.