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X Demographics
Mendeley readers
Attention Score in Context
| Title |
RADAR: annotation and prioritization of variants in the post-transcriptional regulome of RNA-binding proteins
|
|---|---|
| Published in |
Genome Biology, July 2020
|
| DOI | 10.1186/s13059-020-01979-4 |
| Pubmed ID | |
| Authors |
Jing Zhang, Jason Liu, Donghoon Lee, Jo-Jo Feng, Lucas Lochovsky, Shaoke Lou, Michael Rutenberg-Schoenberg, Mark Gerstein |
X Demographics
The data shown below were collected from the profiles of 9 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 | 33% |
| United Kingdom | 2 | 22% |
| France | 1 | 11% |
| Unknown | 3 | 33% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 6 | 67% |
| Members of the public | 3 | 33% |
Mendeley readers
The data shown below were compiled from readership statistics for 59 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 59 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 14 | 24% |
| Researcher | 13 | 22% |
| Professor > Associate Professor | 5 | 8% |
| Student > Master | 4 | 7% |
| Student > Doctoral Student | 3 | 5% |
| Other | 7 | 12% |
| Unknown | 13 | 22% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 24 | 41% |
| Agricultural and Biological Sciences | 11 | 19% |
| Medicine and Dentistry | 2 | 3% |
| Computer Science | 2 | 3% |
| Pharmacology, Toxicology and Pharmaceutical Science | 1 | 2% |
| Other | 2 | 3% |
| Unknown | 17 | 29% |
Attention Score in Context
This research output has an Altmetric Attention Score of 15. 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 August 2020.
All research outputs
#2,390,440
of 25,387,668 outputs
Outputs from Genome Biology
#1,944
of 4,470 outputs
Outputs of similar age
#63,771
of 427,031 outputs
Outputs of similar age from Genome Biology
#66
of 104 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 56% 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 427,031 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 85% of its contemporaries.
We're also able to compare this research output to 104 others from the same source and published within six weeks on either side of this one. This one is in the 36th percentile – i.e., 36% of its contemporaries scored the same or lower than it.