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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Evaluation of some aspects in supervised cell type identification for single-cell RNA-seq: classifier, feature selection, and reference construction
|
|---|---|
| Published in |
Genome Biology, September 2021
|
| DOI | 10.1186/s13059-021-02480-2 |
| Pubmed ID | |
| Authors |
Wenjing Ma, Kenong Su, Hao Wu |
X Demographics
The data shown below were collected from the profiles of 18 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 | 6 | 33% |
| United Kingdom | 3 | 17% |
| Germany | 2 | 11% |
| Sweden | 1 | 6% |
| Italy | 1 | 6% |
| Canada | 1 | 6% |
| Unknown | 4 | 22% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 11 | 61% |
| Scientists | 5 | 28% |
| Science communicators (journalists, bloggers, editors) | 2 | 11% |
Mendeley readers
The data shown below were compiled from readership statistics for 31 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 31 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 7 | 23% |
| Student > Ph. D. Student | 5 | 16% |
| Student > Master | 4 | 13% |
| Student > Bachelor | 2 | 6% |
| Professor | 1 | 3% |
| Other | 0 | 0% |
| Unknown | 12 | 39% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 7 | 23% |
| Biochemistry, Genetics and Molecular Biology | 5 | 16% |
| Agricultural and Biological Sciences | 4 | 13% |
| Chemical Engineering | 1 | 3% |
| Immunology and Microbiology | 1 | 3% |
| Other | 0 | 0% |
| Unknown | 13 | 42% |
Attention Score in Context
This research output has an Altmetric Attention Score of 12. 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 11 May 2023.
All research outputs
#3,007,191
of 25,394,764 outputs
Outputs from Genome Biology
#2,256
of 4,470 outputs
Outputs of similar age
#66,398
of 434,082 outputs
Outputs of similar age from Genome Biology
#54
of 83 outputs
Altmetric has tracked 25,394,764 research outputs across all sources so far. Compared to these this one has done well and is in the 88th 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 49th percentile – i.e., 49% 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 434,082 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 84% of its contemporaries.
We're also able to compare this research output to 83 others from the same source and published within six weeks on either side of this one. This one is in the 34th percentile – i.e., 34% of its contemporaries scored the same or lower than it.