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X Demographics
Mendeley readers
Attention Score in Context
| Title |
The regulatory effect of miRNAs is a heritable genetic trait in humans
|
|---|---|
| Published in |
BMC Genomics, August 2012
|
| DOI | 10.1186/1471-2164-13-383 |
| Pubmed ID | |
| Authors |
Paul Geeleher, Stephanie R Huang, Eric R Gamazon, Aaron Golden, Cathal Seoighe |
| Abstract |
microRNAs (miRNAs) have been shown to regulate the expression of a large number of genes and play key roles in many biological processes. Several previous studies have quantified the inhibitory effect of a miRNA indirectly by considering the expression levels of genes that are predicted to be targeted by the miRNA and this approach has been shown to be robust to the choice of prediction algorithm. Given a gene expression dataset, Cheng et al. defined the regulatory effect score (RE-score) of a miRNA as the difference in the gene expression rank of targets of the miRNA compared to non-targeted genes. |
X Demographics
The data shown below were collected from the profiles of 6 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 | 2 | 33% |
| Canada | 1 | 17% |
| Germany | 1 | 17% |
| Unknown | 2 | 33% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 3 | 50% |
| Members of the public | 2 | 33% |
| Practitioners (doctors, other healthcare professionals) | 1 | 17% |
Mendeley readers
The data shown below were compiled from readership statistics for 42 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 4 | 10% |
| Italy | 1 | 2% |
| Unknown | 37 | 88% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 14 | 33% |
| Researcher | 12 | 29% |
| Student > Master | 5 | 12% |
| Student > Bachelor | 3 | 7% |
| Professor | 1 | 2% |
| Other | 2 | 5% |
| Unknown | 5 | 12% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 23 | 55% |
| Biochemistry, Genetics and Molecular Biology | 5 | 12% |
| Computer Science | 4 | 10% |
| Medicine and Dentistry | 2 | 5% |
| Environmental Science | 1 | 2% |
| Other | 1 | 2% |
| Unknown | 6 | 14% |
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 13 August 2012.
All research outputs
#7,358,712
of 22,673,450 outputs
Outputs from BMC Genomics
#3,545
of 10,614 outputs
Outputs of similar age
#55,046
of 167,363 outputs
Outputs of similar age from BMC Genomics
#40
of 112 outputs
Altmetric has tracked 22,673,450 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 10,614 research outputs from this source. They receive a mean Attention Score of 4.7. This one has gotten more attention than average, scoring higher than 66% of its peers.
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 167,363 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 66% of its contemporaries.
We're also able to compare this research output to 112 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 63% of its contemporaries.