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Stem Cell Control, Oscillations, and Tissue Regeneration in Spatial and Non-Spatial Models

Overview of attention for article published in Frontiers in oncology, January 2013
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  • Good Attention Score compared to outputs of the same age and source (72nd percentile)

Mentioned by

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4 X users
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1 Facebook page

Citations

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35 Dimensions

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35 Mendeley
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Title
Stem Cell Control, Oscillations, and Tissue Regeneration in Spatial and Non-Spatial Models
Published in
Frontiers in oncology, January 2013
DOI 10.3389/fonc.2013.00082
Pubmed ID
Authors

Ignacio A. Rodriguez-Brenes, Dominik Wodarz, Natalia L. Komarova

Abstract

Normal human tissue is organized into cell lineages, in which the highly differentiated mature cells that perform tissue functions are the end product of an orderly tissue-specific sequence of divisions that start with stem cells or progenitor cells. Tissue homeostasis and effective regeneration after injuries requires tight regulation of these cell lineages and feedback loops play a fundamental role in this regard. In particular, signals secreted from differentiated cells that inhibit stem cell division and stem cell self-renewal are important in establishing control. In this article we study in detail the cell dynamics that arise from this control mechanism. These dynamics are fundamental to our understanding of cancer, given that tumor initiation requires an escape from tissue regulation. Knowledge on the processes of cellular control can provide insights into the pathways that lead to deregulation and consequently cancer development.

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.
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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 35 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 35 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 13 37%
Researcher 7 20%
Student > Bachelor 6 17%
Student > Master 2 6%
Professor 1 3%
Other 2 6%
Unknown 4 11%
Readers by discipline Count As %
Agricultural and Biological Sciences 8 23%
Mathematics 7 20%
Engineering 5 14%
Physics and Astronomy 4 11%
Biochemistry, Genetics and Molecular Biology 3 9%
Other 5 14%
Unknown 3 9%
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 25 September 2013.
All research outputs
#15,866,224
of 26,414,132 outputs
Outputs from Frontiers in oncology
#4,833
of 23,127 outputs
Outputs of similar age
#177,804
of 294,672 outputs
Outputs of similar age from Frontiers in oncology
#89
of 327 outputs
Altmetric has tracked 26,414,132 research outputs across all sources so far. This one is in the 38th percentile – i.e., 38% of other outputs scored the same or lower than it.
So far Altmetric has tracked 23,127 research outputs from this source. They receive a mean Attention Score of 3.0. This one has done well, scoring higher than 77% 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 294,672 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 38th percentile – i.e., 38% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 327 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 72% of its contemporaries.