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X Demographics
Mendeley readers
Attention Score in Context
Title |
Interfacing Neural Network Components and Nucleic Acids
|
---|---|
Published in |
Frontiers in Bioengineering and Biotechnology, December 2017
|
DOI | 10.3389/fbioe.2017.00053 |
Pubmed ID | |
Authors |
Thomas Lissek |
Abstract |
Translating neural activity into nucleic acid modifications in a controlled manner harbors unique advantages for basic neurobiology and bioengineering. It would allow for a new generation of biological computers that store output in ultra-compact and long-lived DNA and enable the investigation of animal nervous systems at unprecedented scales. Furthermore, by exploiting the ability of DNA to precisely influence neuronal activity and structure, it could be possible to more effectively create cellular therapy approaches for psychiatric diseases that are currently difficult to treat. |
X Demographics
Geographical breakdown
Country | Count | As % |
---|---|---|
United States | 1 | 50% |
Unknown | 1 | 50% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 2 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 22 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 22 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Bachelor | 5 | 23% |
Researcher | 4 | 18% |
Student > Ph. D. Student | 4 | 18% |
Student > Postgraduate | 2 | 9% |
Professor > Associate Professor | 1 | 5% |
Other | 1 | 5% |
Unknown | 5 | 23% |
Readers by discipline | Count | As % |
---|---|---|
Biochemistry, Genetics and Molecular Biology | 5 | 23% |
Engineering | 4 | 18% |
Agricultural and Biological Sciences | 3 | 14% |
Neuroscience | 3 | 14% |
Chemical Engineering | 2 | 9% |
Other | 1 | 5% |
Unknown | 4 | 18% |
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 04 December 2017.
All research outputs
#18,577,751
of 23,009,818 outputs
Outputs from Frontiers in Bioengineering and Biotechnology
#3,438
of 6,714 outputs
Outputs of similar age
#326,994
of 439,388 outputs
Outputs of similar age from Frontiers in Bioengineering and Biotechnology
#17
of 21 outputs
Altmetric has tracked 23,009,818 research outputs across all sources so far. This one is in the 11th percentile – i.e., 11% of other outputs scored the same or lower than it.
So far Altmetric has tracked 6,714 research outputs from this source. They receive a mean Attention Score of 3.4. This one is in the 30th percentile – i.e., 30% 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 439,388 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 14th percentile – i.e., 14% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 21 others from the same source and published within six weeks on either side of this one. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.