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X Demographics
Mendeley readers
Attention Score in Context
Title |
Disome-seq reveals widespread ribosome collisions that promote cotranslational protein folding
|
---|---|
Published in |
Genome Biology, January 2021
|
DOI | 10.1186/s13059-020-02256-0 |
Pubmed ID | |
Authors |
Taolan Zhao, Yan-Ming Chen, Yu Li, Jia Wang, Siyu Chen, Ning Gao, Wenfeng Qian |
X Demographics
The data shown below were collected from the profiles of 8 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 Kingdom | 2 | 25% |
United States | 2 | 25% |
Austria | 1 | 13% |
Sweden | 1 | 13% |
France | 1 | 13% |
Unknown | 1 | 13% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Scientists | 3 | 38% |
Science communicators (journalists, bloggers, editors) | 2 | 25% |
Members of the public | 2 | 25% |
Practitioners (doctors, other healthcare professionals) | 1 | 13% |
Mendeley readers
The data shown below were compiled from readership statistics for 89 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 89 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 21 | 24% |
Researcher | 14 | 16% |
Student > Master | 8 | 9% |
Student > Bachelor | 6 | 7% |
Student > Doctoral Student | 3 | 3% |
Other | 8 | 9% |
Unknown | 29 | 33% |
Readers by discipline | Count | As % |
---|---|---|
Biochemistry, Genetics and Molecular Biology | 34 | 38% |
Agricultural and Biological Sciences | 13 | 15% |
Pharmacology, Toxicology and Pharmaceutical Science | 3 | 3% |
Physics and Astronomy | 2 | 2% |
Computer Science | 2 | 2% |
Other | 7 | 8% |
Unknown | 28 | 31% |
Attention Score in Context
This research output has an Altmetric Attention Score of 16. 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 19 June 2023.
All research outputs
#2,312,163
of 25,387,668 outputs
Outputs from Genome Biology
#1,905
of 4,470 outputs
Outputs of similar age
#62,569
of 519,746 outputs
Outputs of similar age from Genome Biology
#62
of 89 outputs
Altmetric has tracked 25,387,668 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 90th percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 4,470 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 gotten more attention than average, scoring higher than 57% 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 519,746 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 87% of its contemporaries.
We're also able to compare this research output to 89 others from the same source and published within six weeks on either side of this one. This one is in the 30th percentile – i.e., 30% of its contemporaries scored the same or lower than it.