| Title |
Comparison of different methods for detecting epidermal growth factor receptor mutations in peripheral blood and tumor tissue of non-small cell lung cancer as a predictor of response to gefitinib
|
|---|---|
| Published in |
OncoTargets and therapy, December 2012
|
| DOI | 10.2147/ott.s37289 |
| Pubmed ID | |
| Authors |
Fei Xu, Jingxun Wu, Cong Xue, Yuanyuan Zhao, Wei Jiang, Liping Lin, Xuan Wu, Yachao Lu, Hua Bai, Jiasen Xu, Guanshan Zhu, Li Zhang |
| Abstract |
Previous studies have reported that epidermal growth factor receptor (EGFR) mutation in tumor tissue and peripheral blood can predict the response to EGFR tyrosine kinase inhibitor (TKI) in non-small cell lung cancer (NSCLC). However, the heterogeneity of the sample sources makes it difficult to evaluate the detecting methodologies. The goal of this study is to compare different methods for analyzing EGFR mutation in blood and tumor tissue. |
Mendeley readers
The data shown below were compiled from readership statistics for 20 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 20 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 7 | 35% |
| Student > Bachelor | 2 | 10% |
| Student > Ph. D. Student | 2 | 10% |
| Student > Postgraduate | 2 | 10% |
| Student > Doctoral Student | 1 | 5% |
| Other | 4 | 20% |
| Unknown | 2 | 10% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 9 | 45% |
| Biochemistry, Genetics and Molecular Biology | 4 | 20% |
| Chemistry | 2 | 10% |
| Agricultural and Biological Sciences | 1 | 5% |
| Engineering | 1 | 5% |
| Other | 0 | 0% |
| Unknown | 3 | 15% |
Attention Score in Context
This research output has an Altmetric Attention Score of 1. 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 13 December 2012.
All research outputs
#22,758,309
of 25,371,288 outputs
Outputs from OncoTargets and therapy
#2,078
of 3,016 outputs
Outputs of similar age
#255,748
of 285,736 outputs
Outputs of similar age from OncoTargets and therapy
#16
of 19 outputs
Altmetric has tracked 25,371,288 research outputs across all sources so far. This one is in the 1st percentile – i.e., 1% of other outputs scored the same or lower than it.
So far Altmetric has tracked 3,016 research outputs from this source. They receive a mean Attention Score of 2.9. This one is in the 1st percentile – i.e., 1% 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 285,736 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 19 others from the same source and published within six weeks on either side of this one. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.