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A 3D multiscale model of cancer stem cell in tumor development

Overview of attention for article published in BMC Systems Biology, December 2013
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  • Above-average Attention Score compared to outputs of the same age and source (51st percentile)

Mentioned by

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1 X user
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1 Google+ user

Citations

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24 Dimensions

Readers on

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47 Mendeley
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Title
A 3D multiscale model of cancer stem cell in tumor development
Published in
BMC Systems Biology, December 2013
DOI 10.1186/1752-0509-7-s2-s12
Pubmed ID
Authors

Fuhai Li, Hua Tan, Jaykrishna Singh, Jian Yang, Xiaofeng Xia, Jiguang Bao, Jinwen Ma, Ming Zhan, Stephen TC Wong

Abstract

Recent reports indicate that a subgroup of tumor cells named cancer stem cells (CSCs) or tumor initiating cells (TICs) are responsible for tumor initiation, growth and drug resistance. This subgroup of tumor cells has self-renewal capacity and could differentiate into heterogeneous tumor cell populations through asymmetric proliferation. The idea of CSC provides informative insights into tumor initiation, metastasis and treatment. However, the underlying mechanisms of CSCs regulating tumor behaviors are unclear due to the complex cancer system. To study the functions of CSCs in the complex tumor system, a few mathematical modeling studies have been proposed. Whereas, the effect of microenvironment (mE) factors, the behaviors of CSCs, progenitor tumor cells (PCs) and differentiated tumor cells (TCs), and the impact of CSC fraction and signaling heterogeneity, are not adequately explored yet.

X Demographics

X Demographics

The data shown below were collected from the profile of 1 X user 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 %
France 1 2%
Germany 1 2%
Unknown 45 96%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 13 28%
Researcher 9 19%
Other 4 9%
Student > Master 4 9%
Professor 3 6%
Other 9 19%
Unknown 5 11%
Readers by discipline Count As %
Agricultural and Biological Sciences 7 15%
Medicine and Dentistry 6 13%
Engineering 6 13%
Physics and Astronomy 4 9%
Computer Science 4 9%
Other 13 28%
Unknown 7 15%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 2. 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 20 December 2013.
All research outputs
#14,184,832
of 22,736,112 outputs
Outputs from BMC Systems Biology
#544
of 1,142 outputs
Outputs of similar age
#163,867
of 286,055 outputs
Outputs of similar age from BMC Systems Biology
#27
of 60 outputs
Altmetric has tracked 22,736,112 research outputs across all sources so far. This one is in the 35th percentile – i.e., 35% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,142 research outputs from this source. They receive a mean Attention Score of 3.6. This one is in the 47th percentile – i.e., 47% 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 286,055 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 40th percentile – i.e., 40% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 60 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 51% of its contemporaries.