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Emerging Understanding of Multiscale Tumor Heterogeneity

Overview of attention for article published in Frontiers in oncology, December 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 (83rd percentile)
  • High Attention Score compared to outputs of the same age and source (87th percentile)

Mentioned by

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4 X users
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38 patents

Citations

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96 Dimensions

Readers on

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182 Mendeley
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Title
Emerging Understanding of Multiscale Tumor Heterogeneity
Published in
Frontiers in oncology, December 2014
DOI 10.3389/fonc.2014.00366
Pubmed ID
Authors

Michael J. Gerdes, Anup Sood, Christopher Sevinsky, Andrew D. Pris, Maria I. Zavodszky, Fiona Ginty

Abstract

Cancer is a multifaceted disease characterized by heterogeneous genetic alterations and cellular metabolism, at the organ, tissue, and cellular level. Key features of cancer heterogeneity are summarized by 10 acquired capabilities, which govern malignant transformation and progression of invasive tumors. The relative contribution of these hallmark features to the disease process varies between cancers. At the DNA and cellular level, germ-line and somatic gene mutations are found across all cancer types, causing abnormal protein production, cell behavior, and growth. The tumor microenvironment and its individual components (immune cells, fibroblasts, collagen, and blood vessels) can also facilitate or restrict tumor growth and metastasis. Oncology research is currently in the midst of a tremendous surge of comprehension of these disease mechanisms. This will lead not only to novel drug targets but also to new challenges in drug discovery. Integrated, multi-omic, multiplexed technologies are essential tools in the quest to understand all of the various cellular changes involved in tumorigenesis. This review examines features of cancer heterogeneity and discusses how multiplexed technologies can facilitate a more comprehensive understanding of these features.

X Demographics

X Demographics

The data shown below were collected from the profiles of 4 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 182 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Switzerland 1 <1%
Netherlands 1 <1%
France 1 <1%
United Kingdom 1 <1%
Japan 1 <1%
United States 1 <1%
Poland 1 <1%
Unknown 175 96%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 51 28%
Researcher 32 18%
Student > Master 18 10%
Student > Bachelor 15 8%
Student > Doctoral Student 7 4%
Other 26 14%
Unknown 33 18%
Readers by discipline Count As %
Agricultural and Biological Sciences 40 22%
Biochemistry, Genetics and Molecular Biology 37 20%
Medicine and Dentistry 22 12%
Engineering 14 8%
Physics and Astronomy 5 3%
Other 24 13%
Unknown 40 22%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 8. 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 09 April 2024.
All research outputs
#4,621,159
of 25,576,801 outputs
Outputs from Frontiers in oncology
#1,552
of 22,703 outputs
Outputs of similar age
#58,897
of 361,263 outputs
Outputs of similar age from Frontiers in oncology
#11
of 91 outputs
Altmetric has tracked 25,576,801 research outputs across all sources so far. Compared to these this one has done well and is in the 81st percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 22,703 research outputs from this source. They receive a mean Attention Score of 3.0. 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 361,263 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 83% of its contemporaries.
We're also able to compare this research output to 91 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 87% of its contemporaries.