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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Intratumoral distribution of EGFR mutations and copy number in metastatic lung cancer, what impact on the initial molecular diagnosis?
|
|---|---|
| Published in |
Journal of Translational Medicine, May 2014
|
| DOI | 10.1186/1479-5876-12-131 |
| Pubmed ID | |
| Authors |
Audrey Mansuet-Lupo, Fouzia Zouiti, Marco Alifano, Anne Tallet, Marie-Christine Charpentier, Véronique Ducruit, Fabrice Devez, Fanny Lemaitre, Pierre Laurent-Puig, Diane Damotte, Hélène Blons |
| Abstract |
Activating epidermal growth factor receptor (EGFR) mutations characterize a subgroup of non-small-cell lung cancer that benefit from first line EGFR tyrosine kinase inhibitors (EGFR-TKI). However, the existence of polyclonal cell populations may hinder personalized-medicine strategies as patients' screening often depends upon a single tumor-biopsy sample. The purpose of this study is to clarify and to validate in clinical testing conditions the accuracy of EGFR genotyping using different tumor sites and various types of samples (transthoracic, surgical or endoscopic biopsies and cytology specimens). |
X Demographics
The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 29 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Serbia | 1 | 3% |
| Unknown | 28 | 97% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 6 | 21% |
| Researcher | 4 | 14% |
| Other | 3 | 10% |
| Professor | 3 | 10% |
| Student > Master | 2 | 7% |
| Other | 3 | 10% |
| Unknown | 8 | 28% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 7 | 24% |
| Biochemistry, Genetics and Molecular Biology | 7 | 24% |
| Agricultural and Biological Sciences | 2 | 7% |
| Pharmacology, Toxicology and Pharmaceutical Science | 1 | 3% |
| Chemistry | 1 | 3% |
| Other | 0 | 0% |
| Unknown | 11 | 38% |
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 16 May 2014.
All research outputs
#20,229,658
of 22,755,127 outputs
Outputs from Journal of Translational Medicine
#3,306
of 3,978 outputs
Outputs of similar age
#192,908
of 227,068 outputs
Outputs of similar age from Journal of Translational Medicine
#40
of 71 outputs
Altmetric has tracked 22,755,127 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 3,978 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 10.5. 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 227,068 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 71 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.