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X Demographics
Mendeley readers
Attention Score in Context
| Title |
miR-EdiTar: a database of predicted A-to-I edited miRNA target sites
|
|---|---|
| Published in |
Bioinformatics, October 2012
|
| DOI | 10.1093/bioinformatics/bts589 |
| Pubmed ID | |
| Authors |
Alessandro Laganà, Alessio Paone, Dario Veneziano, Luciano Cascione, Pierluigi Gasparini, Stefania Carasi, Francesco Russo, Giovanni Nigita, Valentina Macca, Rosalba Giugno, Alfredo Pulvirenti, Dennis Shasha, Alfredo Ferro, Carlo M. Croce |
| Abstract |
A-to-I RNA editing is an important mechanism that consists of the conversion of specific adenosines into inosines in RNA molecules. Its dysregulation has been associated to several human diseases including cancer. Recent work has demonstrated a role for A-to-I editing in microRNA (miRNA)-mediated gene expression regulation. In fact, edited forms of mature miRNAs can target sets of genes that differ from the targets of their unedited forms. The specific deamination of mRNAs can generate novel binding sites in addition to potentially altering existing ones. |
X Demographics
The data shown below were collected from the profiles of 3 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 | 1 | 33% |
| Canada | 1 | 33% |
| France | 1 | 33% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 3 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 48 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Hong Kong | 2 | 4% |
| United States | 2 | 4% |
| Czechia | 1 | 2% |
| Germany | 1 | 2% |
| Unknown | 42 | 88% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 19 | 40% |
| Student > Ph. D. Student | 9 | 19% |
| Student > Bachelor | 6 | 13% |
| Professor > Associate Professor | 5 | 10% |
| Other | 3 | 6% |
| Other | 5 | 10% |
| Unknown | 1 | 2% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 28 | 58% |
| Biochemistry, Genetics and Molecular Biology | 11 | 23% |
| Computer Science | 2 | 4% |
| Medicine and Dentistry | 2 | 4% |
| Psychology | 1 | 2% |
| Other | 2 | 4% |
| Unknown | 2 | 4% |
Attention Score in Context
This research output has an Altmetric Attention Score of 2. 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 30 November 2012.
All research outputs
#14,779,958
of 23,942,155 outputs
Outputs from Bioinformatics
#8,089
of 10,936 outputs
Outputs of similar age
#100,583
of 175,539 outputs
Outputs of similar age from Bioinformatics
#105
of 168 outputs
Altmetric has tracked 23,942,155 research outputs across all sources so far. This one is in the 37th percentile – i.e., 37% of other outputs scored the same or lower than it.
So far Altmetric has tracked 10,936 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 8.1. This one is in the 23rd percentile – i.e., 23% 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 175,539 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 41st percentile – i.e., 41% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 168 others from the same source and published within six weeks on either side of this one. This one is in the 36th percentile – i.e., 36% of its contemporaries scored the same or lower than it.