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Simplified molecular classification of lung adenocarcinomas based on EGFR, KRAS, and TP53 mutations

Overview of attention for article published in BMC Cancer, January 2020
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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)
  • High Attention Score compared to outputs of the same age and source (92nd percentile)

Mentioned by

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20 X users

Citations

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10 Dimensions

Readers on

mendeley
34 Mendeley
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Title
Simplified molecular classification of lung adenocarcinomas based on EGFR, KRAS, and TP53 mutations
Published in
BMC Cancer, January 2020
DOI 10.1186/s12885-020-6579-z
Pubmed ID
Authors

Roberto Ruiz-Cordero, Junsheng Ma, Abha Khanna, Genevieve Lyons, Waree Rinsurongkawong, Roland Bassett, Ming Guo, Mark J. Routbort, Jianjun Zhang, Ferdinandos Skoulidis, John Heymach, Emily B. Roarty, Zhenya Tang, L. Jeffrey Medeiros, Keyur P. Patel, Rajyalakshmi Luthra, Sinchita Roy-Chowdhuri

X Demographics

X Demographics

The data shown below were collected from the profiles of 20 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 34 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 34 100%

Demographic breakdown

Readers by professional status Count As %
Other 4 12%
Student > Master 4 12%
Student > Ph. D. Student 4 12%
Researcher 3 9%
Lecturer 2 6%
Other 3 9%
Unknown 14 41%
Readers by discipline Count As %
Medicine and Dentistry 7 21%
Biochemistry, Genetics and Molecular Biology 4 12%
Nursing and Health Professions 2 6%
Agricultural and Biological Sciences 2 6%
Pharmacology, Toxicology and Pharmaceutical Science 1 3%
Other 2 6%
Unknown 16 47%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 12. 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 February 2020.
All research outputs
#3,008,394
of 25,399,318 outputs
Outputs from BMC Cancer
#591
of 8,979 outputs
Outputs of similar age
#70,573
of 471,084 outputs
Outputs of similar age from BMC Cancer
#12
of 151 outputs
Altmetric has tracked 25,399,318 research outputs across all sources so far. Compared to these this one has done well and is in the 88th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 8,979 research outputs from this source. They receive a mean Attention Score of 4.7. This one has done particularly well, scoring higher than 93% 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 471,084 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 151 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 92% of its contemporaries.