You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output.
Click here to find out more.
X Demographics
Mendeley readers
Attention Score in Context
Title |
Integrative analyses of the RNA modification machinery reveal tissue- and cancer-specific signatures
|
---|---|
Published in |
Genome Biology, May 2020
|
DOI | 10.1186/s13059-020-02009-z |
Pubmed ID | |
Authors |
Oguzhan Begik, Morghan C. Lucas, Huanle Liu, Jose Miguel Ramirez, John S. Mattick, Eva Maria Novoa |
X Demographics
The data shown below were collected from the profiles of 37 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 | 9 | 24% |
Spain | 7 | 19% |
United Kingdom | 5 | 14% |
Germany | 2 | 5% |
Canada | 1 | 3% |
Australia | 1 | 3% |
India | 1 | 3% |
France | 1 | 3% |
Switzerland | 1 | 3% |
Other | 2 | 5% |
Unknown | 7 | 19% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 22 | 59% |
Scientists | 14 | 38% |
Science communicators (journalists, bloggers, editors) | 1 | 3% |
Mendeley readers
The data shown below were compiled from readership statistics for 74 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 74 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Researcher | 16 | 22% |
Student > Master | 11 | 15% |
Student > Bachelor | 10 | 14% |
Student > Ph. D. Student | 10 | 14% |
Professor | 4 | 5% |
Other | 7 | 9% |
Unknown | 16 | 22% |
Readers by discipline | Count | As % |
---|---|---|
Biochemistry, Genetics and Molecular Biology | 28 | 38% |
Agricultural and Biological Sciences | 13 | 18% |
Neuroscience | 2 | 3% |
Engineering | 2 | 3% |
Immunology and Microbiology | 1 | 1% |
Other | 8 | 11% |
Unknown | 20 | 27% |
Attention Score in Context
This research output has an Altmetric Attention Score of 43. 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 May 2020.
All research outputs
#957,470
of 25,387,668 outputs
Outputs from Genome Biology
#678
of 4,470 outputs
Outputs of similar age
#28,573
of 415,071 outputs
Outputs of similar age from Genome Biology
#18
of 79 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 96th percentile: it's in the top 5% 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 done well, scoring higher than 84% 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 415,071 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 79 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 77% of its contemporaries.