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X Demographics
Mendeley readers
Attention Score in Context
| Title |
The Genomic Landscape and Clinical Relevance of A-to-I RNA Editing in Human Cancers
|
|---|---|
| Published in |
Cancer Cell, October 2015
|
| DOI | 10.1016/j.ccell.2015.08.013 |
| Pubmed ID | |
| Authors |
Leng Han, Lixia Diao, Shuangxing Yu, Xiaoyan Xu, Jie Li, Rui Zhang, Yang Yang, Henrica M.J. Werner, A. Karina Eterovic, Yuan Yuan, Jun Li, Nikitha Nair, Rosalba Minelli, Yiu Huen Tsang, Lydia W.T. Cheung, Kang Jin Jeong, Jason Roszik, Zhenlin Ju, Scott E. Woodman, Yiling Lu, Kenneth L. Scott, Jin Billy Li, Gordon B. Mills, Han Liang |
| Abstract |
Adenosine-to-inosine (A-to-I) RNA editing is a widespread post-transcriptional mechanism, but its genomic landscape and clinical relevance in cancer have not been investigated systematically. We characterized the global A-to-I RNA editing profiles of 6,236 patient samples of 17 cancer types from The Cancer Genome Atlas and revealed a striking diversity of altered RNA-editing patterns in tumors relative to normal tissues. We identified an appreciable number of clinically relevant editing events, many of which are in noncoding regions. We experimentally demonstrated the effects of several cross-tumor nonsynonymous RNA editing events on cell viability and provide the evidence that RNA editing could selectively affect drug sensitivity. These results highlight RNA editing as an exciting theme for investigating cancer mechanisms, biomarkers, and treatments. |
X Demographics
The data shown below were collected from the profiles of 20 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 | 6 | 30% |
| United Kingdom | 4 | 20% |
| Germany | 1 | 5% |
| Mexico | 1 | 5% |
| Brazil | 1 | 5% |
| Sweden | 1 | 5% |
| Unknown | 6 | 30% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 13 | 65% |
| Members of the public | 6 | 30% |
| Science communicators (journalists, bloggers, editors) | 1 | 5% |
Mendeley readers
The data shown below were compiled from readership statistics for 384 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 3 | <1% |
| United Kingdom | 2 | <1% |
| Denmark | 2 | <1% |
| Australia | 1 | <1% |
| Sweden | 1 | <1% |
| Canada | 1 | <1% |
| Norway | 1 | <1% |
| China | 1 | <1% |
| Chile | 1 | <1% |
| Other | 0 | 0% |
| Unknown | 371 | 97% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 93 | 24% |
| Researcher | 81 | 21% |
| Student > Master | 32 | 8% |
| Student > Bachelor | 31 | 8% |
| Other | 18 | 5% |
| Other | 44 | 11% |
| Unknown | 85 | 22% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 113 | 29% |
| Agricultural and Biological Sciences | 100 | 26% |
| Medicine and Dentistry | 31 | 8% |
| Computer Science | 8 | 2% |
| Engineering | 7 | 2% |
| Other | 35 | 9% |
| Unknown | 90 | 23% |
Attention Score in Context
This research output has an Altmetric Attention Score of 73. 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 25 October 2022.
All research outputs
#584,624
of 25,402,528 outputs
Outputs from Cancer Cell
#429
of 3,153 outputs
Outputs of similar age
#8,310
of 286,904 outputs
Outputs of similar age from Cancer Cell
#7
of 45 outputs
Altmetric has tracked 25,402,528 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 97th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 3,153 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 37.3. This one has done well, scoring higher than 86% 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 286,904 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 97% of its contemporaries.
We're also able to compare this research output to 45 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 86% of its contemporaries.