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X Demographics
Mendeley readers
Attention Score in Context
| Title |
TSEE: an elastic embedding method to visualize the dynamic gene expression patterns of time series single-cell RNA sequencing data
|
|---|---|
| Published in |
BMC Genomics, April 2019
|
| DOI | 10.1186/s12864-019-5477-8 |
| Pubmed ID | |
| Authors |
Shaokun An, Liang Ma, Lin Wan |
X Demographics
The data shown below were collected from the profiles of 11 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 | 18% |
| Spain | 1 | 9% |
| France | 1 | 9% |
| Unknown | 7 | 64% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 8 | 73% |
| Scientists | 3 | 27% |
Mendeley readers
The data shown below were compiled from readership statistics for 48 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 48 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 11 | 23% |
| Student > Ph. D. Student | 10 | 21% |
| Student > Bachelor | 5 | 10% |
| Student > Master | 4 | 8% |
| Student > Doctoral Student | 3 | 6% |
| Other | 7 | 15% |
| Unknown | 8 | 17% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 17 | 35% |
| Medicine and Dentistry | 6 | 13% |
| Agricultural and Biological Sciences | 5 | 10% |
| Neuroscience | 3 | 6% |
| Mathematics | 2 | 4% |
| Other | 4 | 8% |
| Unknown | 11 | 23% |
Attention Score in Context
This research output has an Altmetric Attention Score of 13. 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 December 2019.
All research outputs
#2,441,818
of 23,140,503 outputs
Outputs from BMC Genomics
#763
of 10,710 outputs
Outputs of similar age
#56,541
of 351,532 outputs
Outputs of similar age from BMC Genomics
#14
of 207 outputs
Altmetric has tracked 23,140,503 research outputs across all sources so far. Compared to these this one has done well and is in the 89th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 10,710 research outputs from this source. They receive a mean Attention Score of 4.7. This one has done particularly well, scoring higher than 92% 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 351,532 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 83% of its contemporaries.
We're also able to compare this research output to 207 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.