↓ Skip to main content

Tabletop Molecular Communication: Text Messages through Chemical Signals

Overview of attention for article published in PLOS ONE, December 2013
Altmetric Badge

About this Attention Score

  • In the top 5% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (99th percentile)
  • High Attention Score compared to outputs of the same age and source (99th percentile)

Mentioned by

news
24 news outlets
blogs
10 blogs
twitter
98 X users
peer_reviews
1 peer review site
facebook
10 Facebook pages
wikipedia
2 Wikipedia pages
googleplus
3 Google+ users
reddit
1 Redditor
video
1 YouTube creator

Citations

dimensions_citation
211 Dimensions

Readers on

mendeley
121 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
Tabletop Molecular Communication: Text Messages through Chemical Signals
Published in
PLOS ONE, December 2013
DOI 10.1371/journal.pone.0082935
Pubmed ID
Authors

Nariman Farsad, Weisi Guo, Andrew W. Eckford

Abstract

In this work, we describe the first modular, and programmable platform capable of transmitting a text message using chemical signalling - a method also known as molecular communication. This form of communication is attractive for applications where conventional wireless systems perform poorly, from nanotechnology to urban health monitoring. Using examples, we demonstrate the use of our platform as a testbed for molecular communication, and illustrate the features of these communication systems using experiments. By providing a simple and inexpensive means of performing experiments, our system fills an important gap in the molecular communication literature, where much current work is done in simulation with simplified system models. A key finding in this paper is that these systems are often nonlinear in practice, whereas current simulations and analysis often assume that the system is linear. However, as we show in this work, despite the nonlinearity, reliable communication is still possible. Furthermore, this work motivates future studies on more realistic modelling, analysis, and design of theoretical models and algorithms for these systems.

X Demographics

X Demographics

The data shown below were collected from the profiles of 98 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 121 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 5 4%
Ecuador 1 <1%
India 1 <1%
China 1 <1%
United Kingdom 1 <1%
Venezuela, Bolivarian Republic of 1 <1%
Luxembourg 1 <1%
Unknown 110 91%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 26 21%
Researcher 22 18%
Student > Doctoral Student 10 8%
Student > Bachelor 10 8%
Student > Master 9 7%
Other 26 21%
Unknown 18 15%
Readers by discipline Count As %
Engineering 50 41%
Computer Science 15 12%
Agricultural and Biological Sciences 13 11%
Biochemistry, Genetics and Molecular Biology 5 4%
Physics and Astronomy 3 2%
Other 10 8%
Unknown 25 21%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 343. 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 31 August 2023.
All research outputs
#97,894
of 25,886,866 outputs
Outputs from PLOS ONE
#1,576
of 225,815 outputs
Outputs of similar age
#806
of 322,353 outputs
Outputs of similar age from PLOS ONE
#48
of 5,569 outputs
Altmetric has tracked 25,886,866 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 99th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 225,815 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 15.9. This one has done particularly well, scoring higher than 99% 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 322,353 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 99% of its contemporaries.
We're also able to compare this research output to 5,569 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 99% of its contemporaries.