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X Demographics
Mendeley readers
Attention Score in Context
Title |
scReClassify: post hoc cell type classification of single-cell rNA-seq data
|
---|---|
Published in |
BMC Genomics, December 2019
|
DOI | 10.1186/s12864-019-6305-x |
Pubmed ID | |
Authors |
Taiyun Kim, Kitty Lo, Thomas A. Geddes, Hani Jieun Kim, Jean Yee Hwa Yang, Pengyi Yang |
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 | 4 | 20% |
Australia | 3 | 15% |
Hong Kong | 1 | 5% |
Switzerland | 1 | 5% |
France | 1 | 5% |
United Kingdom | 1 | 5% |
Unknown | 9 | 45% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 13 | 65% |
Scientists | 7 | 35% |
Mendeley readers
The data shown below were compiled from readership statistics for 58 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 58 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 12 | 21% |
Researcher | 9 | 16% |
Student > Master | 8 | 14% |
Student > Bachelor | 4 | 7% |
Other | 3 | 5% |
Other | 7 | 12% |
Unknown | 15 | 26% |
Readers by discipline | Count | As % |
---|---|---|
Biochemistry, Genetics and Molecular Biology | 17 | 29% |
Computer Science | 5 | 9% |
Medicine and Dentistry | 4 | 7% |
Arts and Humanities | 2 | 3% |
Agricultural and Biological Sciences | 2 | 3% |
Other | 7 | 12% |
Unknown | 21 | 36% |
Attention Score in Context
This research output has an Altmetric Attention Score of 17. 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 30 December 2019.
All research outputs
#1,868,604
of 23,577,761 outputs
Outputs from BMC Genomics
#475
of 10,800 outputs
Outputs of similar age
#46,312
of 460,385 outputs
Outputs of similar age from BMC Genomics
#16
of 259 outputs
Altmetric has tracked 23,577,761 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 92nd percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 10,800 research outputs from this source. They receive a mean Attention Score of 4.7. This one has done particularly well, scoring higher than 95% 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 460,385 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 89% of its contemporaries.
We're also able to compare this research output to 259 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 93% of its contemporaries.