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Solid predominant histology predicts EGFR tyrosine kinase inhibitor response in patients with EGFR mutation-positive lung adenocarcinoma

Overview of attention for article published in Journal of Cancer Research and Clinical Oncology, August 2013
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Title
Solid predominant histology predicts EGFR tyrosine kinase inhibitor response in patients with EGFR mutation-positive lung adenocarcinoma
Published in
Journal of Cancer Research and Clinical Oncology, August 2013
DOI 10.1007/s00432-013-1495-0
Pubmed ID
Authors

Tatsuya Yoshida, Genichiro Ishii, Koichi Goto, Kiyotaka Yoh, Seiji Niho, Shigeki Umemura, Shingo Matsumoto, Hironobu Ohmatsu, Kanji Nagai, Yuichiro Ohe, Atsushi Ochiai

Abstract

The efficacy of epidermal growth factor receptor (EGFR) tyrosine kinase inhibitors (TKIs) differs in patients with lung adenocarcinoma harboring EGFR-activating mutations. Although lung adenocarcinoma with EGFR-activating mutations has heterogeneous morphologic features, the predictive role of histologic subtype of lung adenocarcinoma with regard to the effectiveness of EGFR-TKIs in patients with EGFR-activating mutations has not been well defined.

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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.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 25 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 25 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 3 12%
Other 3 12%
Student > Postgraduate 3 12%
Professor > Associate Professor 3 12%
Student > Master 3 12%
Other 5 20%
Unknown 5 20%
Readers by discipline Count As %
Medicine and Dentistry 14 56%
Unspecified 2 8%
Nursing and Health Professions 2 8%
Agricultural and Biological Sciences 1 4%
Unknown 6 24%
Attention Score in Context

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 27 November 2013.
All research outputs
#19,221,261
of 23,815,455 outputs
Outputs from Journal of Cancer Research and Clinical Oncology
#1,814
of 2,632 outputs
Outputs of similar age
#150,817
of 200,937 outputs
Outputs of similar age from Journal of Cancer Research and Clinical Oncology
#14
of 14 outputs
Altmetric has tracked 23,815,455 research outputs across all sources so far. This one is in the 11th percentile – i.e., 11% of other outputs scored the same or lower than it.
So far Altmetric has tracked 2,632 research outputs from this source. They receive a mean Attention Score of 3.6. This one is in the 22nd percentile – i.e., 22% 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 200,937 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 11th percentile – i.e., 11% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 14 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.