↓ Skip to main content

Source-gated transistors for order-of-magnitude performance improvements in thin-film digital circuits

Overview of attention for article published in Scientific Reports, March 2014
Altmetric Badge

About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (93rd percentile)
  • High Attention Score compared to outputs of the same age and source (89th percentile)

Mentioned by

news
3 news outlets
twitter
3 X users
facebook
3 Facebook pages
wikipedia
3 Wikipedia pages

Readers on

mendeley
89 Mendeley
citeulike
1 CiteULike
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.
Article details
Title
Source-gated transistors for order-of-magnitude performance improvements in thin-film digital circuits
Published in
Scientific Reports, March 2014
DOI 10.1038/srep04295
Pubmed ID
Authors
Abstract

Ultra-large-scale integrated (ULSI) circuits have benefited from successive refinements in device architecture for enormous improvements in speed, power efficiency and areal density. In large-area electronics (LAE), however, the basic building-block, the thin-film field-effect transistor (TFT) has largely remained static. Now, a device concept with fundamentally different operation, the source-gated transistor (SGT) opens the possibility of unprecedented functionality in future low-cost LAE. With its simple structure and operational characteristics of low saturation voltage, stability under electrical stress and large intrinsic gain, the SGT is ideally suited for LAE analog applications. Here, we show using measurements on polysilicon devices that these characteristics lead to substantial improvements in gain, noise margin, power-delay product and overall circuit robustness in digital SGT-based designs. These findings have far-reaching consequences, as LAE will form the technological basis for a variety of future developments in the biomedical, civil engineering, remote sensing, artificial skin areas, as well as wearable and ubiquitous computing, or lightweight applications for space exploration.

Login to access the Attention Digest and the Sentiment Analysis related to this output.

Timeline Attention over time Attention Score history
Login to access the full charts related to this output.
Activity
Login to access the full charts related to this output.
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 demographics

Mendeley demographics

The data shown below were compiled from readership statistics for 89 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Login to view Mendeley reader trends over time.

Geographical breakdown

Geographical breakdown
Country Count As %
Korea, Republic of 1 1%
Unknown 88 99%

Demographic breakdown

Readers by professional status
Readers by professional status Count As %
Student > Ph. D. Student 25 28%
Researcher 16 18%
Student > Bachelor 12 13%
Student > Master 7 8%
Professor 5 6%
Other 9 10%
Unknown 15 17%
Readers by discipline
Readers by discipline Count As %
Engineering 43 48%
Physics and Astronomy 12 13%
Materials Science 8 9%
Psychology 2 2%
Chemistry 2 2%
Other 4 4%
Unknown 18 20%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 26. 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 16 May 2026.
All research outputs
#1,331,107
of 23,577,654 outputs
Outputs from Scientific Reports
#12,956
of 127,511 outputs
Outputs of similar age
#13,945
of 222,812 outputs
Outputs of similar age from Scientific Reports
#83
of 785 outputs
Altmetric has tracked 23,577,654 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 94th percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 127,511 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 18.4. This one has done well, scoring higher than 89% 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 222,812 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 93% of its contemporaries.
We're also able to compare this research output to 785 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 89% of its contemporaries.