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| Title |
Large-area low-noise flexible organic photodiodes for detecting faint visible light
|
|---|---|
| Published in |
Science, November 2020
|
| DOI | 10.1126/science.aba2624 |
| Pubmed ID | |
| Authors |
Canek Fuentes-Hernandez, Wen-Fang Chou, Talha M Khan, Larissa Diniz, Julia Lukens, Felipe A Larrain, Victor A Rodriguez-Toro, Bernard Kippelen |
| Abstract |
Silicon photodiodes are the foundation of light-detection technology; yet their rigid structure and limited area scaling at low cost hamper their use in several emerging applications. A detailed methodology for the characterization of organic photodiodes based on polymeric bulk heterojunctions reveals the influence that charge-collecting electrodes have on the electronic noise at low frequency. The performance of optimized organic photodiodes is found to rival that of low-noise silicon photodiodes in all metrics within the visible spectral range, except response time, which is still video-rate compatible. Solution-processed organic photodiodes offer several design opportunities exemplified in a biometric monitoring application that uses ring-shaped, large-area, flexible, organic photodiodes with silicon-level performance. |
X Demographics
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United Kingdom | 1 | 17% |
| Japan | 1 | 17% |
| Colombia | 1 | 17% |
| United States | 1 | 17% |
| Unknown | 2 | 33% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 3 | 50% |
| Scientists | 2 | 33% |
| Science communicators (journalists, bloggers, editors) | 1 | 17% |
Mendeley readers
The data shown below were compiled from readership statistics for 152 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 152 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 27 | 18% |
| Researcher | 13 | 9% |
| Student > Bachelor | 12 | 8% |
| Student > Master | 11 | 7% |
| Student > Postgraduate | 6 | 4% |
| Other | 13 | 9% |
| Unknown | 70 | 46% |
| Readers by discipline | Count | As % |
|---|---|---|
| Engineering | 23 | 15% |
| Chemistry | 16 | 11% |
| Materials Science | 14 | 9% |
| Physics and Astronomy | 10 | 7% |
| Energy | 4 | 3% |
| Other | 10 | 7% |
| Unknown | 75 | 49% |
Attention Score in Context
This research output has an Altmetric Attention Score of 81. 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 February 2021.
All research outputs
#456,633
of 23,257,423 outputs
Outputs from Science
#11,064
of 78,358 outputs
Outputs of similar age
#13,719
of 420,857 outputs
Outputs of similar age from Science
#275
of 995 outputs
Altmetric has tracked 23,257,423 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 98th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 78,358 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 62.8. This one has done well, scoring higher than 85% 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 420,857 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 96% of its contemporaries.
We're also able to compare this research output to 995 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 72% of its contemporaries.