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X Demographics
Mendeley readers
Attention Score in Context
| Title |
A Comparison for Dimensionality Reduction Methods of Single-Cell RNA-seq Data
|
|---|---|
| Published in |
Frontiers in Genetics, March 2021
|
| DOI | 10.3389/fgene.2021.646936 |
| Pubmed ID | |
| Authors |
Ruizhi Xiang, Wencan Wang, Lei Yang, Shiyuan Wang, Chaohan Xu, Xiaowen Chen |
X Demographics
The data shown below were collected from the profiles of 10 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 | 2 | 20% |
| Switzerland | 1 | 10% |
| Australia | 1 | 10% |
| Hong Kong | 1 | 10% |
| France | 1 | 10% |
| Italy | 1 | 10% |
| United Kingdom | 1 | 10% |
| Unknown | 2 | 20% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 6 | 60% |
| Members of the public | 4 | 40% |
Mendeley readers
The data shown below were compiled from readership statistics for 140 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 140 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 19 | 14% |
| Student > Ph. D. Student | 17 | 12% |
| Student > Bachelor | 15 | 11% |
| Researcher | 11 | 8% |
| Student > Doctoral Student | 6 | 4% |
| Other | 10 | 7% |
| Unknown | 62 | 44% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 27 | 19% |
| Computer Science | 13 | 9% |
| Agricultural and Biological Sciences | 10 | 7% |
| Engineering | 6 | 4% |
| Neuroscience | 4 | 3% |
| Other | 15 | 11% |
| Unknown | 65 | 46% |
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 22 January 2024.
All research outputs
#5,488,519
of 25,758,695 outputs
Outputs from Frontiers in Genetics
#1,703
of 13,787 outputs
Outputs of similar age
#130,137
of 456,490 outputs
Outputs of similar age from Frontiers in Genetics
#72
of 494 outputs
Altmetric has tracked 25,758,695 research outputs across all sources so far. Compared to these this one has done well and is in the 78th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 13,787 research outputs from this source. They receive a mean Attention Score of 3.8. This one has done well, scoring higher than 87% 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 456,490 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 71% of its contemporaries.
We're also able to compare this research output to 494 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 85% of its contemporaries.