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American Association for Cancer Research

Preclinical Modeling of KIF5B–RET Fusion Lung Adenocarcinoma

Overview of attention for article published in Molecular Cancer Therapeutics, October 2016
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • Good Attention Score compared to outputs of the same age (74th percentile)
  • Good Attention Score compared to outputs of the same age and source (71st percentile)

Mentioned by

patent
28 patents

Citations

dimensions_citation
62 Dimensions

Readers on

mendeley
36 Mendeley
Title
Preclinical Modeling of KIF5B–RET Fusion Lung Adenocarcinoma
Published in
Molecular Cancer Therapeutics, October 2016
DOI 10.1158/1535-7163.mct-16-0258
Pubmed ID
Authors

Qingling Huang, Valentina E Schneeberger, Noreen Luetteke, Chengliu Jin, Roha Afzal, Mikalai M Budzevich, Rikesh J Makanji, Gary V Martinez, Tao Shen, Lichao Zhao, Kar-Ming Fung, Eric B Haura, Domenico Coppola, Jie Wu

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 36 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 36 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 9 25%
Student > Ph. D. Student 5 14%
Student > Master 4 11%
Other 3 8%
Student > Bachelor 1 3%
Other 3 8%
Unknown 11 31%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 9 25%
Medicine and Dentistry 6 17%
Chemistry 3 8%
Agricultural and Biological Sciences 3 8%
Pharmacology, Toxicology and Pharmaceutical Science 2 6%
Other 1 3%
Unknown 12 33%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 6. 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 26 December 2023.
All research outputs
#5,595,291
of 23,524,722 outputs
Outputs from Molecular Cancer Therapeutics
#921
of 3,916 outputs
Outputs of similar age
#80,497
of 325,548 outputs
Outputs of similar age from Molecular Cancer Therapeutics
#15
of 60 outputs
Altmetric has tracked 23,524,722 research outputs across all sources so far. Compared to these this one has done well and is in the 76th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 3,916 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 8.5. This one has gotten more attention than average, scoring higher than 67% 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 325,548 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 74% of its contemporaries.
We're also able to compare this research output to 60 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 71% of its contemporaries.