↓ Skip to main content

University of Cambridge

Early detection of pre-malignant lesions in a KRASG12D-driven mouse lung cancer model by monitoring circulating free DNA

Overview of attention for article published in Disease Models and Mechanisms, February 2019
Altmetric Badge

About this Attention Score

  • In the top 5% of all research outputs scored by Altmetric
  • Among the highest-scoring outputs from this source (#32 of 1,926)
  • High Attention Score compared to outputs of the same age (96th percentile)
  • High Attention Score compared to outputs of the same age and source (99th percentile)

Mentioned by

news
7 news outlets
twitter
14 X users
facebook
1 Facebook page
video
1 YouTube creator

Citations

dimensions_citation
15 Dimensions

Readers on

mendeley
47 Mendeley
Title
Early detection of pre-malignant lesions in a KRASG12D-driven mouse lung cancer model by monitoring circulating free DNA
Published in
Disease Models and Mechanisms, February 2019
DOI 10.1242/dmm.036863
Pubmed ID
Authors

Callum P. Rakhit, Ricky M. Trigg, John Le Quesne, Michael Kelly, Jacqueline A. Shaw, Catrin Pritchard, L. Miguel Martins

X Demographics

X Demographics

The data shown below were collected from the profiles of 14 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 47 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 47 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 7 15%
Student > Master 6 13%
Student > Postgraduate 5 11%
Researcher 5 11%
Student > Bachelor 4 9%
Other 3 6%
Unknown 17 36%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 13 28%
Agricultural and Biological Sciences 5 11%
Medicine and Dentistry 5 11%
Engineering 2 4%
Social Sciences 1 2%
Other 3 6%
Unknown 18 38%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 61. 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 04 April 2020.
All research outputs
#698,637
of 25,411,814 outputs
Outputs from Disease Models and Mechanisms
#32
of 1,926 outputs
Outputs of similar age
#17,289
of 457,633 outputs
Outputs of similar age from Disease Models and Mechanisms
#1
of 115 outputs
Altmetric has tracked 25,411,814 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 97th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,926 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 8.4. This one has done particularly well, scoring higher than 98% 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 457,633 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 96% of its contemporaries.
We're also able to compare this research output to 115 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.