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X Demographics
Mendeley readers
Attention Score in Context
| Title |
omniCLIP: probabilistic identification of protein-RNA interactions from CLIP-seq data
|
|---|---|
| Published in |
Genome Biology, November 2018
|
| DOI | 10.1186/s13059-018-1521-2 |
| Pubmed ID | |
| Authors |
Philipp Drewe-Boss, Hans-Hermann Wessels, Uwe Ohler |
X Demographics
The data shown below were collected from the profiles of 12 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 | 25% |
| Germany | 1 | 8% |
| Israel | 1 | 8% |
| Spain | 1 | 8% |
| United Kingdom | 1 | 8% |
| Unknown | 5 | 42% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 6 | 50% |
| Scientists | 5 | 42% |
| Science communicators (journalists, bloggers, editors) | 1 | 8% |
Mendeley readers
The data shown below were compiled from readership statistics for 47 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 47 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 13 | 28% |
| Researcher | 12 | 26% |
| Student > Master | 4 | 9% |
| Student > Doctoral Student | 2 | 4% |
| Student > Bachelor | 1 | 2% |
| Other | 6 | 13% |
| Unknown | 9 | 19% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 16 | 34% |
| Agricultural and Biological Sciences | 10 | 21% |
| Computer Science | 6 | 13% |
| Medicine and Dentistry | 2 | 4% |
| Unspecified | 1 | 2% |
| Other | 1 | 2% |
| Unknown | 11 | 23% |
Attention Score in Context
This research output has an Altmetric Attention Score of 7. 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 10 July 2020.
All research outputs
#5,126,072
of 25,385,509 outputs
Outputs from Genome Biology
#2,825
of 4,468 outputs
Outputs of similar age
#96,020
of 363,432 outputs
Outputs of similar age from Genome Biology
#70
of 85 outputs
Altmetric has tracked 25,385,509 research outputs across all sources so far. Compared to these this one has done well and is in the 79th percentile: it's in the top 25% 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 is in the 36th percentile – i.e., 36% of its peers scored the same or lower than it.
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 363,432 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 73% of its contemporaries.
We're also able to compare this research output to 85 others from the same source and published within six weeks on either side of this one. This one is in the 17th percentile – i.e., 17% of its contemporaries scored the same or lower than it.