The data shown below were collected from the profiles of 5 X users who shared this research output. Click here to find out more about how the information was compiled.
As of 1 July 2024, you may notice a temporary increase in the numbers of X profiles with Unknown location. Click here to learn more.
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.
Timeline
X Demographics
Mendeley readers
Attention Score in Context
Title |
DeconPeaker, a Deconvolution Model to Identify Cell Types Based on Chromatin Accessibility in ATAC-Seq Data of Mixture Samples
|
---|---|
Published in |
Frontiers in Genetics, June 2020
|
DOI | 10.3389/fgene.2020.00392 |
Pubmed ID | |
Authors |
Huamei Li, Amit Sharma, Kun Luo, Zhaohui S. Qin, Xiao Sun, Hongde Liu |
X Demographics
Geographical breakdown
Country | Count | As % |
---|---|---|
France | 1 | 20% |
Switzerland | 1 | 20% |
Unknown | 3 | 60% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 3 | 60% |
Scientists | 2 | 40% |
Mendeley readers
The data shown below were compiled from readership statistics for 40 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 40 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 10 | 25% |
Researcher | 8 | 20% |
Student > Doctoral Student | 3 | 8% |
Student > Bachelor | 3 | 8% |
Student > Master | 3 | 8% |
Other | 4 | 10% |
Unknown | 9 | 23% |
Readers by discipline | Count | As % |
---|---|---|
Biochemistry, Genetics and Molecular Biology | 16 | 40% |
Agricultural and Biological Sciences | 3 | 8% |
Computer Science | 3 | 8% |
Neuroscience | 3 | 8% |
Engineering | 2 | 5% |
Other | 2 | 5% |
Unknown | 11 | 28% |
Attention Score in Context
This research output has an Altmetric Attention Score of 10. 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 16 July 2020.
All research outputs
#3,681,078
of 24,932,492 outputs
Outputs from Frontiers in Genetics
#1,161
of 13,419 outputs
Outputs of similar age
#90,480
of 404,244 outputs
Outputs of similar age from Frontiers in Genetics
#42
of 389 outputs
Altmetric has tracked 24,932,492 research outputs across all sources so far. Compared to these this one has done well and is in the 85th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 13,419 research outputs from this source. They receive a mean Attention Score of 3.8. This one has done particularly well, scoring higher than 91% 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 404,244 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 77% of its contemporaries.
We're also able to compare this research output to 389 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 89% of its contemporaries.