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X Demographics
Mendeley readers
Attention Score in Context
| Title |
CADD-Splice—improving genome-wide variant effect prediction using deep learning-derived splice scores
|
|---|---|
| Published in |
Genome Medicine, February 2021
|
| DOI | 10.1186/s13073-021-00835-9 |
| Pubmed ID | |
| Authors |
Philipp Rentzsch, Max Schubach, Jay Shendure, Martin Kircher |
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 | 2 | 22% |
| United Kingdom | 2 | 22% |
| France | 1 | 11% |
| Unknown | 4 | 44% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 5 | 56% |
| Scientists | 4 | 44% |
Mendeley readers
The data shown below were compiled from readership statistics for 332 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 332 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 53 | 16% |
| Researcher | 48 | 14% |
| Student > Bachelor | 32 | 10% |
| Student > Master | 27 | 8% |
| Other | 12 | 4% |
| Other | 31 | 9% |
| Unknown | 129 | 39% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 101 | 30% |
| Medicine and Dentistry | 24 | 7% |
| Agricultural and Biological Sciences | 20 | 6% |
| Computer Science | 11 | 3% |
| Neuroscience | 6 | 2% |
| Other | 20 | 6% |
| Unknown | 150 | 45% |
Attention Score in Context
This research output has an Altmetric Attention Score of 4. 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 03 November 2021.
All research outputs
#7,997,001
of 25,837,817 outputs
Outputs from Genome Medicine
#1,199
of 1,611 outputs
Outputs of similar age
#168,668
of 454,786 outputs
Outputs of similar age from Genome Medicine
#36
of 47 outputs
Altmetric has tracked 25,837,817 research outputs across all sources so far. This one has received more attention than most of these and is in the 69th percentile.
So far Altmetric has tracked 1,611 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 26.6. This one is in the 24th percentile – i.e., 24% 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 454,786 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 62% of its contemporaries.
We're also able to compare this research output to 47 others from the same source and published within six weeks on either side of this one. This one is in the 23rd percentile – i.e., 23% of its contemporaries scored the same or lower than it.