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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Genomic Landscape of Non-Small Cell Lung Cancer in Smokers and Never-Smokers
|
|---|---|
| Published in |
Cell, September 2012
|
| DOI | 10.1016/j.cell.2012.08.024 |
| Pubmed ID | |
| Authors |
Ramaswamy Govindan, Li Ding, Malachi Griffith, Janakiraman Subramanian, Nathan D. Dees, Krishna L. Kanchi, Christopher A. Maher, Robert Fulton, Lucinda Fulton, John Wallis, Ken Chen, Jason Walker, Sandra McDonald, Ron Bose, David Ornitz, Donghai Xiong, Ming You, David J. Dooling, Mark Watson, Elaine R. Mardis, Richard K. Wilson |
| Abstract |
We report the results of whole-genome and transcriptome sequencing of tumor and adjacent normal tissue samples from 17 patients with non-small cell lung carcinoma (NSCLC). We identified 3,726 point mutations and more than 90 indels in the coding sequence, with an average mutation frequency more than 10-fold higher in smokers than in never-smokers. Novel alterations in genes involved in chromatin modification and DNA repair pathways were identified, along with DACH1, CFTR, RELN, ABCB5, and HGF. Deep digital sequencing revealed diverse clonality patterns in both never-smokers and smokers. All validated EFGR and KRAS mutations were present in the founder clones, suggesting possible roles in cancer initiation. Analysis revealed 14 fusions, including ROS1 and ALK, as well as novel metabolic enzymes. Cell-cycle and JAK-STAT pathways are significantly altered in lung cancer, along with perturbations in 54 genes that are potentially targetable with currently available drugs. |
X Demographics
The data shown below were collected from the profiles of 481 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Japan | 203 | 42% |
| United States | 17 | 4% |
| United Kingdom | 4 | <1% |
| China | 3 | <1% |
| Taiwan | 2 | <1% |
| Austria | 2 | <1% |
| Spain | 2 | <1% |
| Germany | 1 | <1% |
| South Africa | 1 | <1% |
| Other | 10 | 2% |
| Unknown | 236 | 49% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 458 | 95% |
| Scientists | 20 | 4% |
| Practitioners (doctors, other healthcare professionals) | 3 | <1% |
Mendeley readers
The data shown below were compiled from readership statistics for 927 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 13 | 1% |
| United Kingdom | 6 | <1% |
| Japan | 5 | <1% |
| Italy | 4 | <1% |
| Netherlands | 3 | <1% |
| Canada | 3 | <1% |
| Brazil | 2 | <1% |
| Germany | 2 | <1% |
| China | 2 | <1% |
| Other | 10 | 1% |
| Unknown | 877 | 95% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 216 | 23% |
| Researcher | 210 | 23% |
| Student > Bachelor | 74 | 8% |
| Student > Master | 70 | 8% |
| Other | 47 | 5% |
| Other | 168 | 18% |
| Unknown | 142 | 15% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 300 | 32% |
| Biochemistry, Genetics and Molecular Biology | 182 | 20% |
| Medicine and Dentistry | 178 | 19% |
| Computer Science | 18 | 2% |
| Immunology and Microbiology | 13 | 1% |
| Other | 69 | 7% |
| Unknown | 167 | 18% |
Attention Score in Context
This research output has an Altmetric Attention Score of 246. 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 05 March 2024.
All research outputs
#154,355
of 25,782,229 outputs
Outputs from Cell
#867
of 17,278 outputs
Outputs of similar age
#691
of 188,949 outputs
Outputs of similar age from Cell
#4
of 144 outputs
Altmetric has tracked 25,782,229 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 99th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 17,278 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 59.7. This one has done particularly well, scoring higher than 94% 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 188,949 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 99% of its contemporaries.
We're also able to compare this research output to 144 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 97% of its contemporaries.