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X Demographics
Mendeley readers
Attention Score in Context
| Title |
VIRGO: visualization of A-to-I RNA editing sites in genomic sequences
|
|---|---|
| Published in |
BMC Bioinformatics, April 2013
|
| DOI | 10.1186/1471-2105-14-s7-s5 |
| Pubmed ID | |
| Authors |
Rosario Distefano, Giovanni Nigita, Valentina Macca, Alessandro Laganà, Rosalba Giugno, Alfredo Pulvirenti, Alfredo Ferro |
| Abstract |
RNA Editing is a type of post-transcriptional modification that takes place in the eukaryotes. It alters the sequence of primary RNA transcripts by deleting, inserting or modifying residues. Several forms of RNA editing have been discovered including A-to-I, C-to-U, U-to-C and G-to-A. In recent years, the application of global approaches to the study of A-to-I editing, including high throughput sequencing, has led to important advances. However, in spite of enormous efforts, the real biological mechanism underlying this phenomenon remains unknown. |
X Demographics
The data shown below were collected from the profiles of 5 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Canada | 1 | 20% |
| Germany | 1 | 20% |
| France | 1 | 20% |
| United States | 1 | 20% |
| Unknown | 1 | 20% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 4 | 80% |
| Members of the public | 1 | 20% |
Mendeley readers
The data shown below were compiled from readership statistics for 34 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| India | 1 | 3% |
| United States | 1 | 3% |
| Unknown | 32 | 94% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 14 | 41% |
| Student > Bachelor | 4 | 12% |
| Other | 3 | 9% |
| Student > Ph. D. Student | 3 | 9% |
| Professor > Associate Professor | 3 | 9% |
| Other | 7 | 21% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 12 | 35% |
| Biochemistry, Genetics and Molecular Biology | 7 | 21% |
| Computer Science | 4 | 12% |
| Mathematics | 2 | 6% |
| Engineering | 2 | 6% |
| Other | 5 | 15% |
| Unknown | 2 | 6% |
Attention Score in Context
This research output has an Altmetric Attention Score of 3. 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 01 February 2018.
All research outputs
#13,154,684
of 22,714,025 outputs
Outputs from BMC Bioinformatics
#4,001
of 7,260 outputs
Outputs of similar age
#102,930
of 196,443 outputs
Outputs of similar age from BMC Bioinformatics
#70
of 120 outputs
Altmetric has tracked 22,714,025 research outputs across all sources so far. This one is in the 41st percentile – i.e., 41% of other outputs scored the same or lower than it.
So far Altmetric has tracked 7,260 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.4. This one is in the 42nd percentile – i.e., 42% 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 196,443 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 47th percentile – i.e., 47% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 120 others from the same source and published within six weeks on either side of this one. This one is in the 40th percentile – i.e., 40% of its contemporaries scored the same or lower than it.