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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Whole-genome reconstruction and mutational signatures in gastric cancer
|
|---|---|
| Published in |
Genome Biology, December 2012
|
| DOI | 10.1186/gb-2012-13-12-r115 |
| Pubmed ID | |
| Authors |
Niranjan Nagarajan, Denis Bertrand, Axel M Hillmer, Zhi Jiang Zang, Fei Yao, Pierre-Étienne Jacques, Audrey SM Teo, Ioana Cutcutache, Zhenshui Zhang, Wah Heng Lee, Yee Yen Sia, Song Gao, Pramila N Ariyaratne, Andrea Ho, Xing Yi Woo, Lavanya Veeravali, Choon Kiat Ong, Niantao Deng, Kartiki V Desai, Chiea Chuen Khor, Martin L Hibberd, Atif Shahab, Jaideepraj Rao, Mengchu Wu, Ming Teh, Feng Zhu, Sze Yung Chin, Brendan Pang, Jimmy BY So, Guillaume Bourque, Richie Soong, Wing-Kin Sung, Bin Tean Teh, Steven Rozen, Xiaoan Ruan, Khay Guan Yeoh, Patrick BO Tan, Yijun Ruan |
| Abstract |
BACKGROUND: Gastric cancer is the second highest cause of global cancer mortality. To explore the complete repertoire of somatic alterations in gastric cancer, we combined massively parallel short read and DNA paired-end tag sequencing to present the first whole-genome analysis of two gastric adenocarcinomas, one with chromosomal instability and the other with microsatellite instability. RESULTS: Integrative analysis and de novo assemblies revealed the architecture of a wild-type KRAS amplification, a common driver event in gastric cancer. We discovered three distinct mutational signatures in gastric cancer - against a genome-wide backdrop of oxidative and microsatellite instability-related mutational signatures, we identified the first exome-specific mutational signature. Further characterization of the impact of these signatures by combining sequencing data from 40 complete gastric cancer exomes and targeted screening of an additional 94 independent gastric tumors uncovered ACVR2A, RPL22 and LMAN1 as recurrently mutated genes in microsatellite instability-positive gastric cancer and PAPPA as a recurrently mutated gene in TP53 wild-type gastric cancer. CONCLUSIONS: These results highlight how whole-genome cancer sequencing can uncover information relevant to tissue-specific carcinogenesis that would otherwise be missed from exome-sequencing data. |
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 % |
|---|---|---|
| United States | 2 | 33% |
| Colombia | 1 | 17% |
| United Kingdom | 1 | 17% |
| Unknown | 2 | 33% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 4 | 67% |
| Scientists | 1 | 17% |
| Science communicators (journalists, bloggers, editors) | 1 | 17% |
Mendeley readers
The data shown below were compiled from readership statistics for 132 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Germany | 4 | 3% |
| United States | 2 | 2% |
| Belgium | 1 | <1% |
| Portugal | 1 | <1% |
| Japan | 1 | <1% |
| Spain | 1 | <1% |
| Unknown | 122 | 92% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 36 | 27% |
| Student > Ph. D. Student | 26 | 20% |
| Student > Master | 11 | 8% |
| Other | 8 | 6% |
| Student > Postgraduate | 7 | 5% |
| Other | 25 | 19% |
| Unknown | 19 | 14% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 45 | 34% |
| Biochemistry, Genetics and Molecular Biology | 38 | 29% |
| Medicine and Dentistry | 17 | 13% |
| Computer Science | 4 | 3% |
| Economics, Econometrics and Finance | 1 | <1% |
| Other | 1 | <1% |
| Unknown | 26 | 20% |
Attention Score in Context
This research output has an Altmetric Attention Score of 28. 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 08 February 2013.
All research outputs
#1,399,070
of 25,373,627 outputs
Outputs from Genome Biology
#1,111
of 4,467 outputs
Outputs of similar age
#11,503
of 286,287 outputs
Outputs of similar age from Genome Biology
#9
of 42 outputs
Altmetric has tracked 25,373,627 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 94th percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 4,467 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 27.6. This one has done well, scoring higher than 75% 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 286,287 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 95% of its contemporaries.
We're also able to compare this research output to 42 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 78% of its contemporaries.