↓ Skip to main content

Engineered modular biomaterial logic gates for environmentally triggered therapeutic delivery

Overview of attention for article published in Nature Chemistry, January 2018
Altmetric Badge

About this Attention Score

  • In the top 5% of all research outputs scored by Altmetric
  • Among the highest-scoring outputs from this source (#21 of 2,535)
  • High Attention Score compared to outputs of the same age (99th percentile)
  • High Attention Score compared to outputs of the same age and source (97th percentile)

Mentioned by

news
9 news outlets
blogs
2 blogs
twitter
487 tweeters
facebook
1 Facebook page

Citations

dimensions_citation
92 Dimensions

Readers on

mendeley
283 Mendeley
You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output. Click here to find out more.
Title
Engineered modular biomaterial logic gates for environmentally triggered therapeutic delivery
Published in
Nature Chemistry, January 2018
DOI 10.1038/nchem.2917
Pubmed ID
Authors

Barry A. Badeau, Michael P. Comerford, Christopher K. Arakawa, Jared A. Shadish, Cole A. DeForest

Abstract

The successful transport of drug- and cell-based therapeutics to diseased sites represents a major barrier in the development of clinical therapies. Targeted delivery can be mediated through degradable biomaterial vehicles that utilize disease biomarkers to trigger payload release. Here, we report a modular chemical framework for imparting hydrogels with precise degradative responsiveness by using multiple environmental cues to trigger reactions that operate user-programmable Boolean logic. By specifying the molecular architecture and connectivity of orthogonal stimuli-labile moieties within material cross-linkers, we show selective control over gel dissolution and therapeutic delivery. To illustrate the versatility of this methodology, we synthesized 17 distinct stimuli-responsive materials that collectively yielded all possible YES/OR/AND logic outputs from input combinations involving enzyme, reductant and light. Using these hydrogels we demonstrate the first sequential and environmentally stimulated release of multiple cell lines in well-defined combinations from a material. We expect these platforms will find utility in several diverse fields including drug delivery, diagnostics and regenerative medicine.

Twitter Demographics

The data shown below were collected from the profiles of 487 tweeters who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 283 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 283 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 97 34%
Student > Bachelor 38 13%
Researcher 32 11%
Student > Master 26 9%
Student > Doctoral Student 19 7%
Other 38 13%
Unknown 33 12%
Readers by discipline Count As %
Chemistry 87 31%
Engineering 46 16%
Materials Science 23 8%
Biochemistry, Genetics and Molecular Biology 20 7%
Agricultural and Biological Sciences 19 7%
Other 47 17%
Unknown 41 14%

Attention Score in Context

This research output has an Altmetric Attention Score of 286. 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 21 September 2018.
All research outputs
#63,177
of 17,098,187 outputs
Outputs from Nature Chemistry
#21
of 2,535 outputs
Outputs of similar age
#3,121
of 467,744 outputs
Outputs of similar age from Nature Chemistry
#2
of 89 outputs
Altmetric has tracked 17,098,187 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 99th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 2,535 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 32.3. This one has done particularly well, scoring higher than 99% 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 467,744 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 99% of its contemporaries.
We're also able to compare this research output to 89 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.