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Tracking Genomic Cancer Evolution for Precision Medicine: The Lung TRACERx Study

Overview of attention for article published in PLoS Biology, July 2014
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About this Attention Score

  • In the top 5% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (97th percentile)
  • Good Attention Score compared to outputs of the same age and source (70th percentile)

Mentioned by

blogs
3 blogs
twitter
26 X users
patent
112 patents
wikipedia
2 Wikipedia pages

Readers on

mendeley
405 Mendeley
citeulike
4 CiteULike
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Article details
Title
Tracking Genomic Cancer Evolution for Precision Medicine: The Lung TRACERx Study
Published in
PLoS Biology, July 2014
DOI 10.1371/journal.pbio.1001906
Pubmed ID
Authors

Mariam Jamal-Hanjani, Alan Hackshaw, Yenting Ngai, Jacqueline Shaw, Caroline Dive, Sergio Quezada, Gary Middleton, Elza de Bruin, John Le Quesne, Seema Shafi, Mary Falzon, Stuart Horswell, Fiona Blackhall, Iftekhar Khan, Sam Janes, Marianne Nicolson, David Lawrence, Martin Forster, Dean Fennell, Siow-Ming Lee, Jason Lester, Keith Kerr, Salli Muller, Natasha Iles, Sean Smith, Nirupa Murugaesu, Richard Mitter, Max Salm, Aengus Stuart, Nik Matthews, Haydn Adams, Tanya Ahmad, Richard Attanoos, Jonathan Bennett, Nicolai Juul Birkbak, Richard Booton, Ged Brady, Keith Buchan, Arrigo Capitano, Mahendran Chetty, Mark Cobbold, Philip Crosbie, Helen Davies, Alan Denison, Madhav Djearman, Jacki Goldman, Tom Haswell, Leena Joseph, Malgorzata Kornaszewska, Matthew Krebs, Gerald Langman, Mairead MacKenzie, Joy Millar, Bruno Morgan, Babu Naidu, Daisuke Nonaka, Karl Peggs, Catrin Pritchard, Hardy Remmen, Andrew Rowan, Rajesh Shah, Elaine Smith, Yvonne Summers, Magali Taylor, Selvaraju Veeriah, David Waller, Ben Wilcox, Maggie Wilcox, Ian Woolhouse, Nicholas McGranahan, Charles Swanton

Abstract

The importance of intratumour genetic and functional heterogeneity is increasingly recognised as a driver of cancer progression and survival outcome. Understanding how tumour clonal heterogeneity impacts upon therapeutic outcome, however, is still an area of unmet clinical and scientific need. TRACERx (TRAcking non-small cell lung Cancer Evolution through therapy [Rx]), a prospective study of patients with primary non-small cell lung cancer (NSCLC), aims to define the evolutionary trajectories of lung cancer in both space and time through multiregion and longitudinal tumour sampling and genetic analysis. By following cancers from diagnosis to relapse, tracking the evolutionary trajectories of tumours in relation to therapeutic interventions, and determining the impact of clonal heterogeneity on clinical outcomes, TRACERx may help to identify novel therapeutic targets for NSCLC and may also serve as a model applicable to other cancer types.

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X Demographics

X Demographics

The data shown below were collected from the profiles of 26 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 405 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Geographical breakdown
Country Count As %
United States 4 <1%
United Kingdom 3 <1%
Korea, Republic of 1 <1%
France 1 <1%
Spain 1 <1%
Germany 1 <1%
Unknown 394 97%

Demographic breakdown

Readers by professional status
Readers by professional status Count As %
Student > Ph. D. Student 78 19%
Researcher 77 19%
Student > Master 41 10%
Student > Bachelor 40 10%
Other 29 7%
Other 62 15%
Unknown 78 19%
Readers by discipline
Readers by discipline Count As %
Medicine and Dentistry 97 24%
Agricultural and Biological Sciences 83 20%
Biochemistry, Genetics and Molecular Biology 74 18%
Immunology and Microbiology 13 3%
Computer Science 11 3%
Other 42 10%
Unknown 85 21%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 55. 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 August 2026.
All research outputs
#957,571
of 33,779,198 outputs
Outputs from PLoS Biology
#1,544
of 7,672 outputs
Outputs of similar age
#7,552
of 269,424 outputs
Outputs of similar age from PLoS Biology
#19
of 65 outputs
Altmetric has tracked 33,779,198 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 7,672 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 57.2. This one has done well, scoring higher than 80% 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 269,424 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 97% of its contemporaries.
We're also able to compare this research output to 65 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 70% of its contemporaries.