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X Demographics
Mendeley readers
Attention Score in Context
| Title |
SCADIE: simultaneous estimation of cell type proportions and cell type-specific gene expressions using SCAD-based iterative estimating procedure
|
|---|---|
| Published in |
Genome Biology, June 2022
|
| DOI | 10.1186/s13059-022-02688-w |
| Pubmed ID | |
| Authors |
Daiwei Tang, Seyoung Park, Hongyu Zhao |
X Demographics
The data shown below were collected from the profiles of 17 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 | 5 | 29% |
| New Zealand | 1 | 6% |
| Spain | 1 | 6% |
| Sweden | 1 | 6% |
| Australia | 1 | 6% |
| India | 1 | 6% |
| Italy | 1 | 6% |
| United Kingdom | 1 | 6% |
| Unknown | 5 | 29% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 11 | 65% |
| Scientists | 5 | 29% |
| Science communicators (journalists, bloggers, editors) | 1 | 6% |
Mendeley readers
The data shown below were compiled from readership statistics for 12 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 12 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 2 | 17% |
| Professor | 1 | 8% |
| Student > Bachelor | 1 | 8% |
| Student > Ph. D. Student | 1 | 8% |
| Unknown | 7 | 58% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 3 | 25% |
| Computer Science | 1 | 8% |
| Agricultural and Biological Sciences | 1 | 8% |
| Unknown | 7 | 58% |
Attention Score in Context
This research output has an Altmetric Attention Score of 7. 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 31 July 2022.
All research outputs
#5,145,823
of 25,392,582 outputs
Outputs from Genome Biology
#2,829
of 4,470 outputs
Outputs of similar age
#106,440
of 443,431 outputs
Outputs of similar age from Genome Biology
#42
of 53 outputs
Altmetric has tracked 25,392,582 research outputs across all sources so far. Compared to these this one has done well and is in the 79th percentile: it's in the top 25% 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 is in the 36th percentile – i.e., 36% 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 443,431 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 75% of its contemporaries.
We're also able to compare this research output to 53 others from the same source and published within six weeks on either side of this one. This one is in the 20th percentile – i.e., 20% of its contemporaries scored the same or lower than it.