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X Demographics
Mendeley readers
Attention Score in Context
| Title |
MutPred Splice: machine learning-based prediction of exonic variants that disrupt splicing
|
|---|---|
| Published in |
Genome Biology, January 2014
|
| DOI | 10.1186/gb-2014-15-1-r19 |
| Pubmed ID | |
| Authors |
Matthew Mort, Timothy Sterne-Weiler, Biao Li, Edward V Ball, David N Cooper, Predrag Radivojac, Jeremy R Sanford, Sean D Mooney |
| Abstract |
We have developed a novel machine-learning approach, MutPred Splice, for the identification of coding region substitutions that disrupt pre-mRNA splicing. Applying MutPred Splice to human disease-causing exonic mutations suggests that 16% of mutations causing inherited disease and 10 to 14% of somatic mutations in cancer may disrupt pre-mRNA splicing. For inherited disease, the main mechanism responsible for the splicing defect is splice site loss, whereas for cancer the predominant mechanism of splicing disruption is predicted to be exon skipping via loss of exonic splicing enhancers or gain of exonic splicing silencer elements. MutPred Splice is available at http://mutdb.org/mutpredsplice. |
X Demographics
The data shown below were collected from the profiles of 14 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 | 5 | 36% |
| United Kingdom | 3 | 21% |
| Australia | 1 | 7% |
| Spain | 1 | 7% |
| France | 1 | 7% |
| India | 1 | 7% |
| Unknown | 2 | 14% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 7 | 50% |
| Scientists | 6 | 43% |
| Science communicators (journalists, bloggers, editors) | 1 | 7% |
Mendeley readers
The data shown below were compiled from readership statistics for 200 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 2 | 1% |
| Germany | 1 | <1% |
| Netherlands | 1 | <1% |
| Canada | 1 | <1% |
| United Kingdom | 1 | <1% |
| Spain | 1 | <1% |
| Belgium | 1 | <1% |
| Unknown | 192 | 96% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 55 | 28% |
| Researcher | 43 | 22% |
| Student > Master | 25 | 13% |
| Student > Doctoral Student | 16 | 8% |
| Student > Bachelor | 12 | 6% |
| Other | 27 | 14% |
| Unknown | 22 | 11% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 71 | 36% |
| Biochemistry, Genetics and Molecular Biology | 53 | 27% |
| Computer Science | 23 | 12% |
| Medicine and Dentistry | 10 | 5% |
| Neuroscience | 5 | 3% |
| Other | 10 | 5% |
| Unknown | 28 | 14% |
Attention Score in Context
This research output has an Altmetric Attention Score of 10. 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 16 May 2014.
All research outputs
#3,526,202
of 25,371,288 outputs
Outputs from Genome Biology
#2,449
of 4,467 outputs
Outputs of similar age
#39,907
of 320,211 outputs
Outputs of similar age from Genome Biology
#71
of 117 outputs
Altmetric has tracked 25,371,288 research outputs across all sources so far. Compared to these this one has done well and is in the 86th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 4,467 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 45th percentile – i.e., 45% 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 320,211 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 117 others from the same source and published within six weeks on either side of this one. This one is in the 38th percentile – i.e., 38% of its contemporaries scored the same or lower than it.