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X Demographics
Mendeley readers
Attention Score in Context
| Title |
SCOPE-Seq: a scalable technology for linking live cell imaging and single-cell RNA sequencing
|
|---|---|
| Published in |
Genome Biology, December 2018
|
| DOI | 10.1186/s13059-018-1607-x |
| Pubmed ID | |
| Authors |
Jinzhou Yuan, Jenny Sheng, Peter A. Sims |
X Demographics
The data shown below were collected from the profiles of 25 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 | 10 | 40% |
| United Kingdom | 2 | 8% |
| Mexico | 1 | 4% |
| France | 1 | 4% |
| Germany | 1 | 4% |
| Unknown | 10 | 40% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 12 | 48% |
| Members of the public | 11 | 44% |
| Science communicators (journalists, bloggers, editors) | 2 | 8% |
Mendeley readers
The data shown below were compiled from readership statistics for 122 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 122 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 26 | 21% |
| Student > Ph. D. Student | 22 | 18% |
| Student > Master | 13 | 11% |
| Student > Bachelor | 12 | 10% |
| Student > Doctoral Student | 8 | 7% |
| Other | 19 | 16% |
| Unknown | 22 | 18% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 26 | 21% |
| Biochemistry, Genetics and Molecular Biology | 25 | 20% |
| Engineering | 12 | 10% |
| Immunology and Microbiology | 6 | 5% |
| Medicine and Dentistry | 6 | 5% |
| Other | 20 | 16% |
| Unknown | 27 | 22% |
Attention Score in Context
This research output has an Altmetric Attention Score of 29. 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 14 November 2023.
All research outputs
#1,334,561
of 25,385,509 outputs
Outputs from Genome Biology
#1,038
of 4,468 outputs
Outputs of similar age
#30,430
of 445,382 outputs
Outputs of similar age from Genome Biology
#26
of 63 outputs
Altmetric has tracked 25,385,509 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 4,468 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 76% 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 445,382 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 93% of its contemporaries.
We're also able to compare this research output to 63 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 58% of its contemporaries.