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3D tumour models: novel in vitro approaches to cancer studies

Overview of attention for article published in Journal of Cell Communication and Signaling, April 2011
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • One of the highest-scoring outputs from this source (#10 of 266)
  • High Attention Score compared to outputs of the same age (89th percentile)

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1 Facebook page

Citations

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627 Mendeley
Title
3D tumour models: novel in vitro approaches to cancer studies
Published in
Journal of Cell Communication and Signaling, April 2011
DOI 10.1007/s12079-011-0132-4
Pubmed ID
Authors

Agata Nyga, Umber Cheema, Marilena Loizidou

Abstract

3D in vitro models have been used in cancer research as a compromise between 2-dimensional cultures of isolated cancer cells and the manufactured complexity of xenografts of human cancers in immunocompromised animal hosts. 3D models can be tailored to be biomimetic and accurately recapitulate the native in vivo scenario in which they are found. These 3D in vitro models provide an important alternative to both complex in vivo whole organism approaches, and 2D culture with its spatial limitations. Approaches to create more biomimetic 3D models of cancer include, but are not limited to, (i) providing the appropriate matrix components in a 3D configuration found in vivo, (ii) co-culturing cancer cells, endothelial cells and other associated cells in a spatially relevant manner, (iii) monitoring and controlling hypoxia- to mimic levels found in native tumours and (iv) monitoring the release of angiogenic factors by cancer cells in response to hypoxia. This article aims to overview current 3D in vitro models of cancer and review strategies employed by researchers to tackle these aspects with special reference to recent promising developments, as well as the current limitations of 2D cultures and in vivo models. 3D in vitro models provide an important alternative to both complex in vivo whole organism approaches, and 2D culture with its spatial limitations. Here we review current strategies in the field of modelling cancer, with special reference to advances in complex 3D in vitro models.

X Demographics

X Demographics

The data shown below were collected from the profiles of 5 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 627 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 5 <1%
Germany 3 <1%
South Africa 2 <1%
Portugal 1 <1%
Pakistan 1 <1%
France 1 <1%
Turkey 1 <1%
India 1 <1%
Israel 1 <1%
Other 2 <1%
Unknown 609 97%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 187 30%
Student > Master 93 15%
Student > Bachelor 90 14%
Researcher 87 14%
Student > Doctoral Student 29 5%
Other 55 9%
Unknown 86 14%
Readers by discipline Count As %
Agricultural and Biological Sciences 142 23%
Biochemistry, Genetics and Molecular Biology 112 18%
Engineering 101 16%
Medicine and Dentistry 47 7%
Chemistry 32 5%
Other 84 13%
Unknown 109 17%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 13. 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 11 April 2017.
All research outputs
#2,345,627
of 22,689,790 outputs
Outputs from Journal of Cell Communication and Signaling
#10
of 266 outputs
Outputs of similar age
#9,504
of 94,770 outputs
Outputs of similar age from Journal of Cell Communication and Signaling
#1
of 2 outputs
Altmetric has tracked 22,689,790 research outputs across all sources so far. Compared to these this one has done well and is in the 89th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 266 research outputs from this source. They receive a mean Attention Score of 2.8. This one has done particularly well, scoring higher than 96% 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 94,770 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 89% of its contemporaries.
We're also able to compare this research output to 2 others from the same source and published within six weeks on either side of this one. This one has scored higher than all of them