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Mendeley readers
Attention Score in Context
Title |
Genomic features defining exonic variants that modulate splicing
|
---|---|
Published in |
Genome Biology, February 2010
|
DOI | 10.1186/gb-2010-11-2-r20 |
Pubmed ID | |
Authors |
Adam Woolfe, James C Mullikin, Laura Elnitski |
Abstract |
Single point mutations at both synonymous and non-synonymous positions within exons can have severe effects on gene function through disruption of splicing. Predicting these mutations in silico purely from the genomic sequence is difficult due to an incomplete understanding of the multiple factors that may be responsible. In addition, little is known about which computational prediction approaches, such as those involving exonic splicing enhancers and exonic splicing silencers, are most informative. |
X Demographics
The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
Country | Count | As % |
---|---|---|
United Kingdom | 1 | 100% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 267 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
United States | 6 | 2% |
Brazil | 2 | <1% |
Sweden | 2 | <1% |
Norway | 1 | <1% |
Hong Kong | 1 | <1% |
Germany | 1 | <1% |
South Africa | 1 | <1% |
United Kingdom | 1 | <1% |
Netherlands | 1 | <1% |
Other | 4 | 1% |
Unknown | 247 | 93% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 48 | 18% |
Researcher | 45 | 17% |
Professor > Associate Professor | 12 | 4% |
Student > Bachelor | 10 | 4% |
Professor | 10 | 4% |
Other | 26 | 10% |
Unknown | 116 | 43% |
Readers by discipline | Count | As % |
---|---|---|
Agricultural and Biological Sciences | 90 | 34% |
Biochemistry, Genetics and Molecular Biology | 27 | 10% |
Medicine and Dentistry | 9 | 3% |
Computer Science | 6 | 2% |
Neuroscience | 3 | 1% |
Other | 10 | 4% |
Unknown | 122 | 46% |
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 23 April 2012.
All research outputs
#3,536,171
of 25,374,917 outputs
Outputs from Genome Biology
#2,453
of 4,467 outputs
Outputs of similar age
#14,105
of 102,886 outputs
Outputs of similar age from Genome Biology
#6
of 24 outputs
Altmetric has tracked 25,374,917 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 102,886 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 86% of its contemporaries.
We're also able to compare this research output to 24 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 75% of its contemporaries.