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Mendeley readers
Attention Score in Context
Title |
Exonic enhancers: proceed with caution in exome and genome sequencing studies
|
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Published in |
Genome Medicine, February 2016
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DOI | 10.1186/s13073-016-0277-0 |
Pubmed ID | |
Authors |
Nadav Ahituv |
Abstract |
Exonic enhancers (eExons) are coding exons that also function as enhancers of the gene in which they reside or (a) nearby gene(s). Mutations that affect the enhancer activity of these eExons have been associated with human disease. Therefore, eExon mutations should be taken into account in exome and genome sequencing projects, not only because of the ability of these mutations to modify the encoded proteins but also because of their effects on enhancer activity. |
X Demographics
The data shown below were collected from the profiles of 7 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
Country | Count | As % |
---|---|---|
France | 2 | 29% |
United States | 2 | 29% |
Unknown | 3 | 43% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Scientists | 4 | 57% |
Members of the public | 3 | 43% |
Mendeley readers
The data shown below were compiled from readership statistics for 57 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
United Kingdom | 1 | 2% |
Unknown | 56 | 98% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 18 | 32% |
Student > Bachelor | 8 | 14% |
Student > Master | 6 | 11% |
Student > Doctoral Student | 4 | 7% |
Researcher | 4 | 7% |
Other | 8 | 14% |
Unknown | 9 | 16% |
Readers by discipline | Count | As % |
---|---|---|
Biochemistry, Genetics and Molecular Biology | 24 | 42% |
Agricultural and Biological Sciences | 16 | 28% |
Medicine and Dentistry | 4 | 7% |
Neuroscience | 2 | 4% |
Engineering | 1 | 2% |
Other | 0 | 0% |
Unknown | 10 | 18% |
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 14 February 2016.
All research outputs
#7,960,052
of 25,373,627 outputs
Outputs from Genome Medicine
#1,216
of 1,585 outputs
Outputs of similar age
#121,269
of 407,705 outputs
Outputs of similar age from Genome Medicine
#26
of 33 outputs
Altmetric has tracked 25,373,627 research outputs across all sources so far. This one has received more attention than most of these and is in the 67th percentile.
So far Altmetric has tracked 1,585 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 26.8. This one is in the 22nd percentile – i.e., 22% 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 407,705 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 69% of its contemporaries.
We're also able to compare this research output to 33 others from the same source and published within six weeks on either side of this one. This one is in the 21st percentile – i.e., 21% of its contemporaries scored the same or lower than it.