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Gene expression patterns that predict sensitivity to epidermal growth factor receptor tyrosine kinase inhibitors in lung cancer cell lines and human lung tumors

Overview of attention for article published in BMC Genomics, November 2006
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (93rd percentile)
  • High Attention Score compared to outputs of the same age and source (99th percentile)

Mentioned by

blogs
1 blog
twitter
2 X users
patent
4 patents

Citations

dimensions_citation
64 Dimensions

Readers on

mendeley
63 Mendeley
citeulike
1 CiteULike
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Title
Gene expression patterns that predict sensitivity to epidermal growth factor receptor tyrosine kinase inhibitors in lung cancer cell lines and human lung tumors
Published in
BMC Genomics, November 2006
DOI 10.1186/1471-2164-7-289
Pubmed ID
Authors

Justin M Balko, Anil Potti, Christopher Saunders, Arnold Stromberg, Eric B Haura, Esther P Black

X Demographics

X Demographics

The data shown below were collected from the profiles of 2 X users 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 63 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 3 5%
Italy 1 2%
Unknown 59 94%

Demographic breakdown

Readers by professional status Count As %
Researcher 22 35%
Student > Ph. D. Student 9 14%
Other 5 8%
Student > Bachelor 4 6%
Student > Doctoral Student 4 6%
Other 12 19%
Unknown 7 11%
Readers by discipline Count As %
Medicine and Dentistry 23 37%
Agricultural and Biological Sciences 12 19%
Biochemistry, Genetics and Molecular Biology 10 16%
Computer Science 4 6%
Mathematics 1 2%
Other 3 5%
Unknown 10 16%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 15. 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 15 July 2023.
All research outputs
#2,302,220
of 24,078,222 outputs
Outputs from BMC Genomics
#640
of 10,892 outputs
Outputs of similar age
#4,638
of 71,212 outputs
Outputs of similar age from BMC Genomics
#1
of 29 outputs
Altmetric has tracked 24,078,222 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 90th percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 10,892 research outputs from this source. They receive a mean Attention Score of 4.8. 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 71,212 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 93% of its contemporaries.
We're also able to compare this research output to 29 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 99% of its contemporaries.