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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Modeling group heteroscedasticity in single-cell RNA-seq pseudo-bulk data
|
|---|---|
| Published in |
Genome Biology, May 2023
|
| DOI | 10.1186/s13059-023-02949-2 |
| Pubmed ID | |
| Authors |
Yue You, Xueyi Dong, Yong Kiat Wee, Mhairi J. Maxwell, Monther Alhamdoosh, Gordon K. Smyth, Peter F. Hickey, Matthew E. Ritchie, Charity W. Law |
X Demographics
The data shown below were collected from the profiles of 7 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 | 4 | 57% |
| Austria | 1 | 14% |
| Unknown | 2 | 29% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 4 | 57% |
| Scientists | 3 | 43% |
Mendeley readers
The data shown below were compiled from readership statistics for 15 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 15 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 3 | 20% |
| Unspecified | 1 | 7% |
| Other | 1 | 7% |
| Student > Ph. D. Student | 1 | 7% |
| Student > Bachelor | 1 | 7% |
| Other | 2 | 13% |
| Unknown | 6 | 40% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 4 | 27% |
| Agricultural and Biological Sciences | 2 | 13% |
| Unspecified | 1 | 7% |
| Computer Science | 1 | 7% |
| Neuroscience | 1 | 7% |
| Other | 0 | 0% |
| Unknown | 6 | 40% |
Attention Score in Context
This research output has an Altmetric Attention Score of 4. 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 09 June 2023.
All research outputs
#8,270,860
of 25,394,764 outputs
Outputs from Genome Biology
#3,444
of 4,470 outputs
Outputs of similar age
#142,027
of 403,988 outputs
Outputs of similar age from Genome Biology
#69
of 88 outputs
Altmetric has tracked 25,394,764 research outputs across all sources so far. This one has received more attention than most of these and is in the 66th percentile.
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 is in the 22nd percentile – i.e., 22% 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 403,988 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 64% of its contemporaries.
We're also able to compare this research output to 88 others from the same source and published within six weeks on either side of this one. This one is in the 21st percentile – i.e., 21% of its contemporaries scored the same or lower than it.