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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 (86th percentile)
  • Above-average Attention Score compared to outputs of the same age and source (56th percentile)

Mentioned by

blogs
1 blog
twitter
6 X users

Citations

dimensions_citation
31 Dimensions

Readers on

mendeley
56 Mendeley
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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
Authors

Jin Woo Ahn, Han Sang Kim, Jung-Ki Yoon, Hoon Jang, Soo Min Han, Sungho Eun, Hyo Sup Shim, Hyun-Jung Kim, Dae Joon Kim, Jin Gu Lee, Chang Young Lee, Mi Kyung Bae, Kyung Young Chung, Ji Ye Jung, Eun Young Kim, Se Kyu Kim, Joon Chang, Hye Ryun Kim, Joo Hang Kim, Min Goo Lee, Byoung Chul Cho, Ji Hyun 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.

X Demographics

X Demographics

The data shown below were collected from the profiles of 6 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 56 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 53 95%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 12 21%
Researcher 11 20%
Professor 5 9%
Professor > Associate Professor 5 9%
Student > Doctoral Student 4 7%
Other 10 18%
Unknown 9 16%
Readers by discipline Count As %
Agricultural and Biological Sciences 15 27%
Biochemistry, Genetics and Molecular Biology 13 23%
Medicine and Dentistry 9 16%
Chemistry 2 4%
Business, Management and Accounting 1 2%
Other 2 4%
Unknown 14 25%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 11. 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 25 November 2022.
All research outputs
#3,322,233
of 25,371,288 outputs
Outputs from Genome Medicine
#728
of 1,585 outputs
Outputs of similar age
#32,379
of 235,872 outputs
Outputs of similar age from Genome Medicine
#9
of 23 outputs
Altmetric has tracked 25,371,288 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 1,585 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 26.8. This one has gotten more attention than average, scoring higher than 53% 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 235,872 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 86% of its contemporaries.
We're also able to compare this research output to 23 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 56% of its contemporaries.