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Evasion of tumours from the control of the immune system: consequences of brief encounters

Overview of attention for article published in Biology Direct, September 2012
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Title
Evasion of tumours from the control of the immune system: consequences of brief encounters
Published in
Biology Direct, September 2012
DOI 10.1186/1745-6150-7-31
Pubmed ID
Authors

Mohannad Al-Tameemi, Mark Chaplain, Alberto d’Onofrio

Abstract

In this work a mathematical model describing the growth of a solid tumour in the presence of an immune system response is presented. Specifically, attention is focused on the interactions between cytotoxic T-lymphocytes (CTLs) and tumour cells in a small, avascular multicellular tumour. At this stage of the disease the CTLs and the tumour cells are considered to be in a state of dynamic equilibrium or cancer dormancy. The precise biochemical and cellular mechanisms by which CTLs can control a cancer and keep it in a dormant state are still not completely understood from a biological and immunological point of view. The mathematical model focuses on the spatio-temporal dynamics of tumour cells, immune cells, chemokines and "chemorepellents" in an immunogenic tumour. The CTLs and tumour cells are assumed to migrate and interact with each other in such a way that lymphocyte-tumour cell complexes are formed. These complexes result in either the death of the tumour cells (the normal situation) or the inactivation of the lymphocytes and consequently the survival of the tumour cells. In the latter case, we assume that each tumour cell that survives its "brief encounter" with the CTLs undergoes certain beneficial phenotypic changes.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 29 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 29 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 8 28%
Researcher 5 17%
Student > Bachelor 3 10%
Student > Doctoral Student 2 7%
Professor 2 7%
Other 5 17%
Unknown 4 14%
Readers by discipline Count As %
Mathematics 7 24%
Medicine and Dentistry 5 17%
Agricultural and Biological Sciences 4 14%
Biochemistry, Genetics and Molecular Biology 2 7%
Immunology and Microbiology 2 7%
Other 4 14%
Unknown 5 17%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. 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 24 September 2015.
All research outputs
#18,361,534
of 22,741,406 outputs
Outputs from Biology Direct
#413
of 487 outputs
Outputs of similar age
#130,394
of 171,734 outputs
Outputs of similar age from Biology Direct
#4
of 4 outputs
Altmetric has tracked 22,741,406 research outputs across all sources so far. This one is in the 11th percentile – i.e., 11% of other outputs scored the same or lower than it.
So far Altmetric has tracked 487 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 10.7. This one is in the 7th percentile – i.e., 7% of its peers scored the same or lower than it.
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 171,734 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 11th percentile – i.e., 11% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 4 others from the same source and published within six weeks on either side of this one.