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X Demographics
Mendeley readers
Attention Score in Context
| Title |
SMOOTH-seq: single-cell genome sequencing of human cells on a third-generation sequencing platform
|
|---|---|
| Published in |
Genome Biology, June 2021
|
| DOI | 10.1186/s13059-021-02406-y |
| Pubmed ID | |
| Authors |
Xiaoying Fan, Cheng Yang, Wen Li, Xiuzhen Bai, Xin Zhou, Haoling Xie, Lu Wen, Fuchou Tang |
X Demographics
The data shown below were collected from the profiles of 19 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 | 3 | 16% |
| Netherlands | 3 | 16% |
| United Kingdom | 2 | 11% |
| China | 1 | 5% |
| Spain | 1 | 5% |
| Japan | 1 | 5% |
| Italy | 1 | 5% |
| Russia | 1 | 5% |
| Unknown | 6 | 32% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 12 | 63% |
| Members of the public | 5 | 26% |
| Science communicators (journalists, bloggers, editors) | 1 | 5% |
| Practitioners (doctors, other healthcare professionals) | 1 | 5% |
Mendeley readers
The data shown below were compiled from readership statistics for 73 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 73 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 14 | 19% |
| Researcher | 7 | 10% |
| Student > Master | 5 | 7% |
| Student > Doctoral Student | 5 | 7% |
| Student > Bachelor | 5 | 7% |
| Other | 11 | 15% |
| Unknown | 26 | 36% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 20 | 27% |
| Agricultural and Biological Sciences | 11 | 15% |
| Unspecified | 3 | 4% |
| Computer Science | 3 | 4% |
| Medicine and Dentistry | 3 | 4% |
| Other | 5 | 7% |
| Unknown | 28 | 38% |
Attention Score in Context
This research output has an Altmetric Attention Score of 31. 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 10 November 2021.
All research outputs
#1,287,301
of 25,613,746 outputs
Outputs from Genome Biology
#984
of 4,495 outputs
Outputs of similar age
#32,215
of 454,879 outputs
Outputs of similar age from Genome Biology
#17
of 66 outputs
Altmetric has tracked 25,613,746 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 94th percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 4,495 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 27.6. This one has done well, scoring higher than 78% 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 454,879 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 92% of its contemporaries.
We're also able to compare this research output to 66 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 75% of its contemporaries.