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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Prediction of constitutive A-to-I editing sites from human transcriptomes in the absence of genomic sequences
|
|---|---|
| Published in |
BMC Genomics, March 2013
|
| DOI | 10.1186/1471-2164-14-206 |
| Pubmed ID | |
| Authors |
Shanshan Zhu, Jian-Feng Xiang, Tian Chen, Ling-Ling Chen, Li Yang |
| Abstract |
Adenosine-to-inosine (A-to-I) RNA editing is recognized as a cellular mechanism for generating both RNA and protein diversity. Inosine base pairs with cytidine during reverse transcription and therefore appears as guanosine during sequencing of cDNA. Current approaches of RNA editing identification largely depend on the comparison between transcriptomes and genomic DNA (gDNA) sequencing datasets from the same individuals, and it has been challenging to identify editing candidates from transcriptomes in the absence of gDNA information. |
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% |
| France | 1 | 33% |
| Unknown | 1 | 33% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 2 | 67% |
| Members of the public | 1 | 33% |
Mendeley readers
The data shown below were compiled from readership statistics for 73 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 2 | 3% |
| India | 1 | 1% |
| Portugal | 1 | 1% |
| China | 1 | 1% |
| Unknown | 68 | 93% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 16 | 22% |
| Researcher | 13 | 18% |
| Student > Postgraduate | 7 | 10% |
| Student > Bachelor | 6 | 8% |
| Student > Master | 6 | 8% |
| Other | 12 | 16% |
| Unknown | 13 | 18% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 37 | 51% |
| Biochemistry, Genetics and Molecular Biology | 17 | 23% |
| Medicine and Dentistry | 2 | 3% |
| Mathematics | 1 | 1% |
| Earth and Planetary Sciences | 1 | 1% |
| Other | 1 | 1% |
| Unknown | 14 | 19% |
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 02 April 2013.
All research outputs
#14,102,711
of 22,703,044 outputs
Outputs from BMC Genomics
#5,644
of 10,624 outputs
Outputs of similar age
#112,323
of 197,839 outputs
Outputs of similar age from BMC Genomics
#70
of 132 outputs
Altmetric has tracked 22,703,044 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 10,624 research outputs from this source. They receive a mean Attention Score of 4.7. This one is in the 46th percentile – i.e., 46% 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 197,839 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 42nd percentile – i.e., 42% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 132 others from the same source and published within six weeks on either side of this one. This one is in the 45th percentile – i.e., 45% of its contemporaries scored the same or lower than it.