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Stem Cell Transplantation as a Dynamical System: Are Clinical Outcomes Deterministic?

Overview of attention for article published in Frontiers in immunology, December 2014
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About this Attention Score

  • In the top 5% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (96th percentile)
  • High Attention Score compared to outputs of the same age and source (97th percentile)

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4 news outlets
blogs
1 blog
twitter
6 X users

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24 Mendeley
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Title
Stem Cell Transplantation as a Dynamical System: Are Clinical Outcomes Deterministic?
Published in
Frontiers in immunology, December 2014
DOI 10.3389/fimmu.2014.00613
Pubmed ID
Authors

Amir A. Toor, Jared D. Kobulnicky, Salman Salman, Catherine H. Roberts, Max Jameson-Lee, Jeremy Meier, Allison Scalora, Nihar Sheth, Vishal Koparde, Myrna Serrano, Gregory A. Buck, William B. Clark, John M. McCarty, Harold M. Chung, Masoud H. Manjili, Roy T. Sabo, Michael C. Neale

Abstract

Outcomes in stem cell transplantation (SCT) are modeled using probability theory. However, the clinical course following SCT appears to demonstrate many characteristics of dynamical systems, especially when outcomes are considered in the context of immune reconstitution. Dynamical systems tend to evolve over time according to mathematically determined rules. Characteristically, the future states of the system are predicated on the states preceding them, and there is sensitivity to initial conditions. In SCT, the interaction between donor T cells and the recipient may be considered as such a system in which, graft source, conditioning, and early immunosuppression profoundly influence immune reconstitution over time. This eventually determines clinical outcomes, either the emergence of tolerance or the development of graft versus host disease. In this paper, parallels between SCT and dynamical systems are explored and a conceptual framework for developing mathematical models to understand disparate transplant outcomes is proposed.

X Demographics

X Demographics

The data shown below were collected from the profiles of 6 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 24 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 24 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 8 33%
Student > Ph. D. Student 4 17%
Student > Doctoral Student 2 8%
Professor 2 8%
Student > Postgraduate 2 8%
Other 3 13%
Unknown 3 13%
Readers by discipline Count As %
Medicine and Dentistry 6 25%
Agricultural and Biological Sciences 4 17%
Immunology and Microbiology 4 17%
Biochemistry, Genetics and Molecular Biology 3 13%
Nursing and Health Professions 1 4%
Other 3 13%
Unknown 3 13%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 41. 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 06 January 2015.
All research outputs
#1,005,309
of 25,394,764 outputs
Outputs from Frontiers in immunology
#872
of 31,554 outputs
Outputs of similar age
#12,765
of 368,447 outputs
Outputs of similar age from Frontiers in immunology
#5
of 179 outputs
Altmetric has tracked 25,394,764 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 96th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 31,554 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 8.4. This one has done particularly well, scoring higher than 97% 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 368,447 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 96% of its contemporaries.
We're also able to compare this research output to 179 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 97% of its contemporaries.