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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Genetic variants in microRNA genes: impact on microRNA expression, function, and disease
|
|---|---|
| Published in |
Frontiers in Genetics, May 2015
|
| DOI | 10.3389/fgene.2015.00186 |
| Pubmed ID | |
| Authors |
Sophia Cammaerts, Mojca Strazisar, Peter De Rijk, Jurgen Del Favero |
| Abstract |
MicroRNAs (miRNAs) are important regulators of gene expression and like any other gene, their coding sequences are subject to genetic variation. Variants in miRNA genes can have profound effects on miRNA functionality at all levels, including miRNA transcription, maturation, and target specificity, and as such they can also contribute to disease. The impact of variants in miRNA genes is the focus of the present review. To put these effects into context, we first discuss the requirements of miRNA transcripts for maturation. In the last part an overview of available databases and tools and experimental approaches to investigate miRNA variants related to human disease is presented. |
X Demographics
The data shown below were collected from the profiles of 2 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Spain | 1 | 50% |
| Unknown | 1 | 50% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 1 | 50% |
| Scientists | 1 | 50% |
Mendeley readers
The data shown below were compiled from readership statistics for 168 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Japan | 1 | <1% |
| Denmark | 1 | <1% |
| Unknown | 166 | 99% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 38 | 23% |
| Researcher | 27 | 16% |
| Student > Master | 14 | 8% |
| Student > Doctoral Student | 12 | 7% |
| Student > Bachelor | 10 | 6% |
| Other | 27 | 16% |
| Unknown | 40 | 24% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 47 | 28% |
| Agricultural and Biological Sciences | 37 | 22% |
| Medicine and Dentistry | 9 | 5% |
| Computer Science | 6 | 4% |
| Neuroscience | 5 | 3% |
| Other | 16 | 10% |
| Unknown | 48 | 29% |
Attention Score in Context
This research output has an Altmetric Attention Score of 1. 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 12 May 2015.
All research outputs
#17,756,606
of 22,803,211 outputs
Outputs from Frontiers in Genetics
#6,062
of 11,762 outputs
Outputs of similar age
#180,112
of 266,747 outputs
Outputs of similar age from Frontiers in Genetics
#91
of 108 outputs
Altmetric has tracked 22,803,211 research outputs across all sources so far. This one is in the 19th percentile – i.e., 19% of other outputs scored the same or lower than it.
So far Altmetric has tracked 11,762 research outputs from this source. They receive a mean Attention Score of 3.7. This one is in the 40th percentile – i.e., 40% 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 266,747 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 27th percentile – i.e., 27% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 108 others from the same source and published within six weeks on either side of this one. This one is in the 12th percentile – i.e., 12% of its contemporaries scored the same or lower than it.