↓ Skip to main content

Synthesis of control unit for future biocomputer

Overview of attention for article published in Journal of Biological Engineering, August 2018
Altmetric Badge

About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • Good Attention Score compared to outputs of the same age (70th percentile)
  • Average Attention Score compared to outputs of the same age and source

Mentioned by

twitter
3 X users
facebook
1 Facebook page
wikipedia
1 Wikipedia page

Citations

dimensions_citation
3 Dimensions

Readers on

mendeley
19 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
Synthesis of control unit for future biocomputer
Published in
Journal of Biological Engineering, August 2018
DOI 10.1186/s13036-018-0109-4
Pubmed ID
Authors

Chun-Liang Lin, Ting-Yu Kuo, Wei-Xian Li

Abstract

Synthesis of a variety of biological circuits for specific functional purposes has made a tremendous progress in recent years. The ultimate goal of combining molecular biology and engineering is to realize a functional biocomputer. To address this challenge, all previous efforts work toward building up the bio-computer as the ultimate goal. To this aim, there should be a key module, named control unit (CU), to direct a serious of logic or arithmetic operations within the processor. This research task develops a bio-CU to work with a bio-ALU, which is realized from the combination of previously developed genetic logic gates to fulfill the kernel function of CPU as those done in the silicon computer. A possible framework of the bio-CPU has demonstrated how to connect a bio-CU with a bio-ALU to conduct a fetch-decode-execute cycle of a macro instruction. It presents not only capability of 4-bit full adder but coordination of related modules in biocomputer. We have demonstrated computer simulation for applications of the genetic circuits in biocomputer construction. It's expected to inspire follow-up study to synthesize potential configurations of the future biocomputer.

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 19 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 19 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 4 21%
Student > Bachelor 4 21%
Professor > Associate Professor 2 11%
Student > Ph. D. Student 2 11%
Student > Doctoral Student 1 5%
Other 0 0%
Unknown 6 32%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 6 32%
Computer Science 3 16%
Agricultural and Biological Sciences 2 11%
Engineering 1 5%
Unknown 7 37%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 6. 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 01 November 2020.
All research outputs
#5,738,337
of 23,100,534 outputs
Outputs from Journal of Biological Engineering
#89
of 268 outputs
Outputs of similar age
#98,181
of 331,095 outputs
Outputs of similar age from Journal of Biological Engineering
#4
of 7 outputs
Altmetric has tracked 23,100,534 research outputs across all sources so far. Compared to these this one has done well and is in the 75th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 268 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 7.7. This one has gotten more attention than average, scoring higher than 66% 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 331,095 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 70% of its contemporaries.
We're also able to compare this research output to 7 others from the same source and published within six weeks on either side of this one. This one has scored higher than 3 of them.