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Twitter Demographics
Mendeley readers
Attention Score in Context
| Title |
Long-read individual-molecule sequencing reveals CRISPR-induced genetic heterogeneity in human ESCs
|
|---|---|
| Published in |
Genome Biology, August 2020
|
| DOI | 10.1186/s13059-020-02143-8 |
| Pubmed ID | |
| Authors |
Chongwei Bi, Lin Wang, Baolei Yuan, Xuan Zhou, Yu Li, Sheng Wang, Yuhong Pang, Xin Gao, Yanyi Huang, Mo Li |
Twitter Demographics
The data shown below were collected from the profiles of 21 tweeters 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 | 10% |
| Netherlands | 1 | 5% |
| Colombia | 1 | 5% |
| Germany | 1 | 5% |
| Saudi Arabia | 1 | 5% |
| Austria | 1 | 5% |
| United Kingdom | 1 | 5% |
| Unknown | 13 | 62% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 14 | 67% |
| Scientists | 4 | 19% |
| Science communicators (journalists, bloggers, editors) | 2 | 10% |
| Practitioners (doctors, other healthcare professionals) | 1 | 5% |
Mendeley readers
The data shown below were compiled from readership statistics for 55 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 55 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 18 | 33% |
| Student > Ph. D. Student | 10 | 18% |
| Student > Master | 4 | 7% |
| Student > Doctoral Student | 2 | 4% |
| Other | 2 | 4% |
| Other | 5 | 9% |
| Unknown | 14 | 25% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 22 | 40% |
| Agricultural and Biological Sciences | 11 | 20% |
| Medicine and Dentistry | 4 | 7% |
| Pharmacology, Toxicology and Pharmaceutical Science | 2 | 4% |
| Social Sciences | 1 | 2% |
| Other | 3 | 5% |
| Unknown | 12 | 22% |
Attention Score in Context
This research output has an Altmetric Attention Score of 63. 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 18 November 2022.
All research outputs
#630,422
of 24,233,945 outputs
Outputs from Genome Biology
#422
of 4,305 outputs
Outputs of similar age
#18,887
of 403,047 outputs
Outputs of similar age from Genome Biology
#19
of 93 outputs
Altmetric has tracked 24,233,945 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 97th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 4,305 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 27.8. This one has done particularly well, scoring higher than 90% 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 403,047 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 95% of its contemporaries.
We're also able to compare this research output to 93 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 80% of its contemporaries.