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Mendeley readers
Attention Score in Context
Title |
Programmable bioelectronics in a stimuli-encoded 3D graphene interface
|
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Published in |
Nanoscale, January 2016
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DOI | 10.1039/c6nr02355j |
Pubmed ID | |
Authors |
Onur Parlak, Selim Beyazit, Bernadette Tse-Sum-Bui, Karsten Haupt, Anthony P. F. Turner, Ashutosh Tiwari |
Abstract |
The ability to program and mimic the dynamic microenvironment of living organisms is a crucial step towards the engineering of advanced bioelectronics. Here, we report for the first time a design for programmable bioelectronics, with 'built-in' switchable and tunable bio-catalytic performance that responds simultaneously to appropriate stimuli. The designed bio-electrodes comprise light and temperature responsive compartments, which allow the building of Boolean logic gates (i.e. "OR" and "AND") based on enzymatic communications to deliver logic operations. |
X Demographics
The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 1 | 100% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Scientists | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 25 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 25 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 6 | 24% |
Researcher | 5 | 20% |
Student > Master | 4 | 16% |
Student > Doctoral Student | 3 | 12% |
Professor | 2 | 8% |
Other | 2 | 8% |
Unknown | 3 | 12% |
Readers by discipline | Count | As % |
---|---|---|
Chemistry | 7 | 28% |
Engineering | 6 | 24% |
Materials Science | 4 | 16% |
Biochemistry, Genetics and Molecular Biology | 2 | 8% |
Physics and Astronomy | 1 | 4% |
Other | 1 | 4% |
Unknown | 4 | 16% |
Attention Score in Context
This research output has an Altmetric Attention Score of 1. 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 28 April 2016.
All research outputs
#15,369,653
of 22,865,319 outputs
Outputs from Nanoscale
#4,717
of 9,275 outputs
Outputs of similar age
#230,936
of 393,648 outputs
Outputs of similar age from Nanoscale
#375
of 650 outputs
Altmetric has tracked 22,865,319 research outputs across all sources so far. This one is in the 22nd percentile – i.e., 22% of other outputs scored the same or lower than it.
So far Altmetric has tracked 9,275 research outputs from this source. They receive a mean Attention Score of 4.2. This one is in the 40th percentile – i.e., 40% 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 393,648 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 32nd percentile – i.e., 32% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 650 others from the same source and published within six weeks on either side of this one. This one is in the 31st percentile – i.e., 31% of its contemporaries scored the same or lower than it.