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Identification of somatic mutations in EGFR/KRAS/ALK-negative lung adenocarcinoma in never-smokers.

Overview of attention for article published in Genome Medicine, February 2014
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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 (85th percentile)

Mentioned by

blogs
1 blog
twitter
5 tweeters

Citations

dimensions_citation
27 Dimensions

Readers on

mendeley
55 Mendeley

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Summary Blogs Twitter Dimensions citations
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Title
Identification of somatic mutations in EGFR/KRAS/ALK-negative lung adenocarcinoma in never-smokers.
Published in
Genome Medicine, February 2014
DOI 10.1186/gm535
Pubmed ID
24576404
Authors

Ahn JW, Kim HS, Yoon JK, Jang H, Han SM, Eun S, Shim HS, Kim HJ, Kim DJ, Lee JG, Lee CY, Bae MK, Chung KY, Jung JY, Kim EY, Kim SK, Chang J, Kim HR, Kim JH, Lee MG, Cho BC, Lee JH, Bang D, Jin Ahn, Han Kim, Jung-Ki Yoon, Hoon Jang, Soo Han, Sungho Eun, Hyo Shim, Hyun-Jung Kim, Dae Kim, Jin Lee, Chang Lee, Mi Bae, Kyung Chung, Ji Jung, Eun Kim, Se Kim, Joon Chang, Hye Kim, Joo Kim, Min Lee, Byoung Cho, Ji Lee, Duhee Bang

Abstract

Lung adenocarcinoma is a highly heterogeneous disease with various etiologies, prognoses, and responses to therapy. Although genome-scale characterization of lung adenocarcinoma has been performed, a comprehensive somatic mutation analysis of EGFR/KRAS/ALK-negative lung adenocarcinoma in never-smokers has not been conducted.

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Twitter Demographics

The data shown below were collected from the profiles of 5 tweeters who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 55 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Korea, Republic of 2 4%
United States 1 2%
Unknown 52 95%

Demographic breakdown

Readers by professional status Count As %
Researcher 12 22%
Student > Ph. D. Student 11 20%
Professor 5 9%
Professor > Associate Professor 5 9%
Student > Doctoral Student 4 7%
Other 10 18%
Unknown 8 15%
Readers by discipline Count As %
Agricultural and Biological Sciences 15 27%
Biochemistry, Genetics and Molecular Biology 13 24%
Medicine and Dentistry 9 16%
Chemistry 2 4%
Business, Management and Accounting 1 2%
Other 2 4%
Unknown 13 24%

Attention Score in Context

This research output has an Altmetric Attention Score of 10. 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 2016.
All research outputs
#2,829,094
of 21,507,731 outputs
Outputs from Genome Medicine
#622
of 1,363 outputs
Outputs of similar age
#28,826
of 200,677 outputs
Outputs of similar age from Genome Medicine
#1
of 2 outputs
Altmetric has tracked 21,507,731 research outputs across all sources so far. Compared to these this one has done well and is in the 86th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,363 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 25.0. This one has gotten more attention than average, scoring higher than 54% 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 200,677 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 85% of its contemporaries.
We're also able to compare this research output to 2 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

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