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Approaches in Immunotherapy, Regenerative Medicine, and Bioengineering for Type 1 Diabetes

Overview of attention for article published in Frontiers in immunology, June 2018
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • Good Attention Score compared to outputs of the same age (71st percentile)
  • Good Attention Score compared to outputs of the same age and source (73rd percentile)

Mentioned by

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6 X users
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1 patent

Citations

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21 Dimensions

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79 Mendeley
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Title
Approaches in Immunotherapy, Regenerative Medicine, and Bioengineering for Type 1 Diabetes
Published in
Frontiers in immunology, June 2018
DOI 10.3389/fimmu.2018.01354
Pubmed ID
Authors

Christopher Kopan, Tori Tucker, Michael Alexander, M. Rezaa Mohammadi, Egest J. Pone, Jonathan Robert Todd Lakey

Abstract

Recent advances on using immune and stem cells as two-pronged approaches for type 1 diabetes mellitus (T1DM) treatment show promise for advancement into clinical practice. As T1DM is thought to arise from autoimmune attack destroying pancreatic β-cells, increasing treatments that use biologics and cells to manipulate the immune system are achieving better results in pre-clinical and clinical studies. Increasingly, focus has shifted from small molecule drugs that suppress the immune system nonspecifically to more complex biologics that show enhanced efficacy due to their selectivity for specific types of immune cells. Approaches that seek to inhibit only autoreactive effector T cells or enhance the suppressive regulatory T cell subset are showing remarkable promise. These modern immune interventions are also enabling the transplantation of pancreatic islets or β-like cells derived from stem cells. While complete immune tolerance and body acceptance of grafted islets and cells is still challenging, bioengineering approaches that shield the implanted cells are also advancing. Integrating immunotherapy, stem cell-mediated β-cell or islet production and bioengineering to interface with the patient is expected to lead to a durable cure or pave the way for a clinical solution for T1DM.

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 79 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 79 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 15 19%
Student > Bachelor 14 18%
Student > Ph. D. Student 9 11%
Student > Doctoral Student 6 8%
Other 4 5%
Other 5 6%
Unknown 26 33%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 12 15%
Medicine and Dentistry 11 14%
Engineering 5 6%
Immunology and Microbiology 4 5%
Agricultural and Biological Sciences 4 5%
Other 11 14%
Unknown 32 41%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 7. 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 July 2023.
All research outputs
#5,407,995
of 25,382,440 outputs
Outputs from Frontiers in immunology
#6,079
of 31,537 outputs
Outputs of similar age
#95,901
of 341,509 outputs
Outputs of similar age from Frontiers in immunology
#193
of 736 outputs
Altmetric has tracked 25,382,440 research outputs across all sources so far. Compared to these this one has done well and is in the 78th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 31,537 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 8.4. This one has done well, scoring higher than 80% 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 341,509 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 71% of its contemporaries.
We're also able to compare this research output to 736 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 73% of its contemporaries.