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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Type I Collagen-Derived Injectable Conductive Hydrogel Scaffolds as Glucose Sensors
|
|---|---|
| Published in |
ACS Applied Materials & Interfaces, April 2018
|
| DOI | 10.1021/acsami.8b04091 |
| Pubmed ID | |
| Authors |
Ranjithkumar Ravichandran, Jose G. Martinez, Edwin W. H. Jager, Jaywant Phopase, Anthony P. F. Turner |
| Abstract |
The advent of home blood glucose monitoring revolutionized diabetes management and the recent introduction of both wearable devices and closed loop continuous systems have impacted enormously on the lives of people with this, the fastest growing disease in the World. We describe the first fully injectable soft electrochemical glucose sensor for in situ monitoring. Collagen, the main component of native extracellular matrix (ECM) in humans and animals, was used to fabricate an in situ gellable self-supporting electroconductive hydrogel that can be injected onto an electrode surface or into porcine meat to detect glucose amperometrically. |
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.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Sweden | 2 | 33% |
| United States | 1 | 17% |
| Unknown | 3 | 50% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 2 | 33% |
| Members of the public | 2 | 33% |
| Science communicators (journalists, bloggers, editors) | 1 | 17% |
| Practitioners (doctors, other healthcare professionals) | 1 | 17% |
Mendeley readers
The data shown below were compiled from readership statistics for 68 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 68 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 15 | 22% |
| Student > Ph. D. Student | 14 | 21% |
| Student > Master | 5 | 7% |
| Student > Doctoral Student | 4 | 6% |
| Student > Bachelor | 3 | 4% |
| Other | 7 | 10% |
| Unknown | 20 | 29% |
| Readers by discipline | Count | As % |
|---|---|---|
| Materials Science | 10 | 15% |
| Chemistry | 8 | 12% |
| Engineering | 7 | 10% |
| Biochemistry, Genetics and Molecular Biology | 4 | 6% |
| Agricultural and Biological Sciences | 3 | 4% |
| Other | 11 | 16% |
| Unknown | 25 | 37% |
Attention Score in Context
This research output has an Altmetric Attention Score of 4. 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 05 May 2018.
All research outputs
#6,796,143
of 23,047,237 outputs
Outputs from ACS Applied Materials & Interfaces
#3,605
of 17,580 outputs
Outputs of similar age
#116,731
of 326,468 outputs
Outputs of similar age from ACS Applied Materials & Interfaces
#88
of 393 outputs
Altmetric has tracked 23,047,237 research outputs across all sources so far. This one has received more attention than most of these and is in the 70th percentile.
So far Altmetric has tracked 17,580 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.7. This one has done well, scoring higher than 79% 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 326,468 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 64% of its contemporaries.
We're also able to compare this research output to 393 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 77% of its contemporaries.