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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Tensor Decomposition-Based Unsupervised Feature Extraction Applied to Single-Cell Gene Expression Analysis
|
|---|---|
| Published in |
Frontiers in Genetics, September 2019
|
| DOI | 10.3389/fgene.2019.00864 |
| Pubmed ID | |
| Authors |
Y-h. Taguchi, Turki Turki |
X Demographics
The data shown below were collected from the profiles of 14 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Japan | 4 | 29% |
| Switzerland | 1 | 7% |
| Unknown | 9 | 64% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 13 | 93% |
| Scientists | 1 | 7% |
Mendeley readers
The data shown below were compiled from readership statistics for 32 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 32 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Bachelor | 5 | 16% |
| Student > Ph. D. Student | 4 | 13% |
| Researcher | 4 | 13% |
| Student > Master | 3 | 9% |
| Professor | 2 | 6% |
| Other | 4 | 13% |
| Unknown | 10 | 31% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 9 | 28% |
| Computer Science | 3 | 9% |
| Neuroscience | 2 | 6% |
| Agricultural and Biological Sciences | 2 | 6% |
| Mathematics | 1 | 3% |
| Other | 1 | 3% |
| Unknown | 14 | 44% |
Attention Score in Context
This research output has an Altmetric Attention Score of 8. 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 November 2020.
All research outputs
#4,900,508
of 25,734,859 outputs
Outputs from Frontiers in Genetics
#1,534
of 13,784 outputs
Outputs of similar age
#89,342
of 354,817 outputs
Outputs of similar age from Frontiers in Genetics
#59
of 341 outputs
Altmetric has tracked 25,734,859 research outputs across all sources so far. Compared to these this one has done well and is in the 80th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 13,784 research outputs from this source. They receive a mean Attention Score of 3.8. This one has done well, scoring higher than 88% 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 354,817 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 74% of its contemporaries.
We're also able to compare this research output to 341 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 82% of its contemporaries.