↓ Skip to main content

Non-small-cell lung cancer: molecular targeted therapy and personalized medicine – drug resistance, mechanisms, and strategies

Overview of attention for article published in Pharmacogenomics and Personalized Medicine, April 2013
Altmetric Badge

About this Attention Score

  • Good Attention Score compared to outputs of the same age (73rd percentile)

Mentioned by

blogs
1 blog

Readers on

mendeley
72 Mendeley
citeulike
1 CiteULike
You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output. Click here to find out more.
Title
Non-small-cell lung cancer: molecular targeted therapy and personalized medicine – drug resistance, mechanisms, and strategies
Published in
Pharmacogenomics and Personalized Medicine, April 2013
DOI 10.2147/pgpm.s26058
Pubmed ID
Authors

Marybeth Sechler, Amber D Cizmic, Sreedevi Avasarala, Michelle Van Scoyk, Christine Brzezinski, Nicole Kelley, Rama Kamesh Bikkavilli, Robert A Winn

Timeline

Login to access the full chart related to this output.

If you don’t have an account, click here to discover Explorer

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 72 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Indonesia 1 1%
Spain 1 1%
China 1 1%
Unknown 69 96%

Demographic breakdown

Readers by professional status Count As %
Researcher 13 18%
Student > Ph. D. Student 12 17%
Student > Bachelor 12 17%
Student > Master 7 10%
Other 6 8%
Other 12 17%
Unknown 10 14%
Readers by discipline Count As %
Agricultural and Biological Sciences 22 31%
Medicine and Dentistry 13 18%
Biochemistry, Genetics and Molecular Biology 12 17%
Pharmacology, Toxicology and Pharmaceutical Science 5 7%
Chemistry 4 6%
Other 7 10%
Unknown 9 13%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 5. 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 31 January 2015.
All research outputs
#6,882,355
of 25,748,735 outputs
Outputs from Pharmacogenomics and Personalized Medicine
#1
of 1 outputs
Outputs of similar age
#54,867
of 213,918 outputs
Outputs of similar age from Pharmacogenomics and Personalized Medicine
#1
of 1 outputs
Altmetric has tracked 25,748,735 research outputs across all sources so far. This one has received more attention than most of these and is in the 72nd percentile.
So far Altmetric has tracked 1 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.0. This one scored the same or higher as 0 of them.
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 213,918 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 73% of its contemporaries.
We're also able to compare this research output to 1 others from the same source and published within six weeks on either side of this one. This one has scored higher than all of them