↓ Skip to main content

3D printing enables separation of orthogonal functions within a hydrogel particle

Overview of attention for article published in Biomedical Microdevices, May 2016
Altmetric Badge

About this Attention Score

  • Average Attention Score compared to outputs of the same age
  • Good Attention Score compared to outputs of the same age and source (66th percentile)

Mentioned by

twitter
3 X users

Readers on

mendeley
52 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
3D printing enables separation of orthogonal functions within a hydrogel particle
Published in
Biomedical Microdevices, May 2016
DOI 10.1007/s10544-016-0068-9
Pubmed ID
Authors

Ritu Raman, Nicholas E. Clay, Sanjeet Sen, Molly Melhem, Ellen Qin, Hyunjoon Kong, Rashid Bashir

Abstract

Multifunctional particles with distinct physiochemical phases are required by a variety of applications in biomedical engineering, such as diagnostic imaging and targeted drug delivery. This motivates the development of a repeatable, efficient, and customizable approach to manufacturing particles with spatially segregated bioactive moieties. This study demonstrates a stereolithographic 3D printing approach for designing and fabricating large arrays of biphasic poly (ethylene glycol) diacrylate (PEGDA) gel particles. The fabrication parameters governing the physical and biochemical properties of multi-layered particles are thoroughly investigated, yielding a readily tunable approach to manufacturing customizable arrays of multifunctional particles. The advantage in spatially organizing functional epitopes is examined by loading superparamagnetic iron oxide nanoparticles (SPIONs) and bovine serum albumin (BSA) in separate layers of biphasic PEGDA gel particles and examining SPION-induced magnetic resonance (MR) contrast and BSA-release kinetics. Particles with spatial segregation of functional moieties have demonstrably higher MR contrast and BSA release. Overall, this study will contribute significant knowledge to the preparation of multifunctional particles for use as biomedical tools.

X Demographics

X Demographics

The data shown below were collected from the profiles of 3 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 52 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Mexico 1 2%
United States 1 2%
Unknown 50 96%

Demographic breakdown

Readers by professional status Count As %
Student > Master 8 15%
Student > Bachelor 7 13%
Student > Ph. D. Student 6 12%
Student > Doctoral Student 5 10%
Researcher 4 8%
Other 9 17%
Unknown 13 25%
Readers by discipline Count As %
Engineering 17 33%
Materials Science 4 8%
Biochemistry, Genetics and Molecular Biology 4 8%
Agricultural and Biological Sciences 3 6%
Medicine and Dentistry 3 6%
Other 8 15%
Unknown 13 25%
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 30 May 2016.
All research outputs
#14,263,483
of 22,873,031 outputs
Outputs from Biomedical Microdevices
#528
of 746 outputs
Outputs of similar age
#187,258
of 333,421 outputs
Outputs of similar age from Biomedical Microdevices
#3
of 9 outputs
Altmetric has tracked 22,873,031 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 746 research outputs from this source. They receive a mean Attention Score of 4.1. This one is in the 27th percentile – i.e., 27% 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 333,421 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 41st percentile – i.e., 41% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 9 others from the same source and published within six weeks on either side of this one. This one has scored higher than 6 of them.