You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output.
Click here to find out more.
X Demographics
Mendeley readers
Attention Score in Context
| Title |
Challenges and opportunities to computationally deconvolve heterogeneous tissue with varying cell sizes using single-cell RNA-sequencing datasets
|
|---|---|
| Published in |
Genome Biology, December 2023
|
| DOI | 10.1186/s13059-023-03123-4 |
| Pubmed ID | |
| Authors |
Sean K. Maden, Sang Ho Kwon, Louise A. Huuki-Myers, Leonardo Collado-Torres, Stephanie C. Hicks, Kristen R. Maynard |
X Demographics
The data shown below were collected from the profiles of 21 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 | 8 | 38% |
| Taiwan | 1 | 5% |
| Italy | 1 | 5% |
| India | 1 | 5% |
| Czechia | 1 | 5% |
| China | 1 | 5% |
| Unknown | 8 | 38% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 9 | 43% |
| Members of the public | 9 | 43% |
| Science communicators (journalists, bloggers, editors) | 2 | 10% |
| Practitioners (doctors, other healthcare professionals) | 1 | 5% |
Mendeley readers
The data shown below were compiled from readership statistics for 11 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 11 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 4 | 36% |
| Researcher | 2 | 18% |
| Student > Master | 1 | 9% |
| Unspecified | 1 | 9% |
| Professor > Associate Professor | 1 | 9% |
| Other | 1 | 9% |
| Unknown | 1 | 9% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 4 | 36% |
| Computer Science | 2 | 18% |
| Agricultural and Biological Sciences | 1 | 9% |
| Unspecified | 1 | 9% |
| Social Sciences | 1 | 9% |
| Other | 1 | 9% |
| Unknown | 1 | 9% |
Attention Score in Context
This research output has an Altmetric Attention Score of 11. 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 24 April 2024.
All research outputs
#3,212,765
of 25,816,430 outputs
Outputs from Genome Biology
#2,343
of 4,520 outputs
Outputs of similar age
#48,177
of 363,282 outputs
Outputs of similar age from Genome Biology
#31
of 77 outputs
Altmetric has tracked 25,816,430 research outputs across all sources so far. Compared to these this one has done well and is in the 87th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 4,520 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 27.5. This one is in the 47th percentile – i.e., 47% 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 363,282 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 86% of its contemporaries.
We're also able to compare this research output to 77 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 59% of its contemporaries.