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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Ultra-High-Density Arrays of Defect-Free AlN Nanorods: A “Space-Filling” Approach
|
|---|---|
| Published in |
ACS Nano, January 2016
|
| DOI | 10.1021/acsnano.5b06062 |
| Pubmed ID | |
| Authors |
Michele Conroy, Vitaly Z. Zubialevich, Haoning Li, Nikolay Petkov, Sally O’Donoghue, Justin D. Holmes, Peter J. Parbrook |
| Abstract |
Nanostructured semiconductors have a clear potential for improved optoelectronic devices, such as high efficiency light emitting diodes (LEDs). However most arrays of semiconductor nanorods suffer from having relatively low densities (or "fill factors") and a high degree of non-uniformity, especially when produced by self-organized growth. Ideally an array of nanorods for an optoelectronic emitter should have a fill factor close to 100 %, with uniform rod diameter and height. In this article we present a 'space-filling' approach for forming defect-free arrays of AlN nanorods, whereby the separation between each rod can be controlled to 5 nm due to a self-limiting process. These arrays of pyramidal topped AlN nanorods formed over wafer-scale areas by metal organic chemical vapour deposition (MOCVD), provide a defect free semi-polar top surface, for potential optoelectronic device applications with the highest reported fill factor at 98%. |
X Demographics
The data shown below were collected from the profiles of 2 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Australia | 1 | 50% |
| United Kingdom | 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 32 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 1 | 3% |
| Canada | 1 | 3% |
| Unknown | 30 | 94% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 8 | 25% |
| Student > Ph. D. Student | 5 | 16% |
| Student > Doctoral Student | 3 | 9% |
| Student > Bachelor | 3 | 9% |
| Professor | 2 | 6% |
| Other | 9 | 28% |
| Unknown | 2 | 6% |
| Readers by discipline | Count | As % |
|---|---|---|
| Materials Science | 9 | 28% |
| Engineering | 8 | 25% |
| Physics and Astronomy | 5 | 16% |
| Chemistry | 2 | 6% |
| Medicine and Dentistry | 1 | 3% |
| Other | 1 | 3% |
| Unknown | 6 | 19% |
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 29 October 2018.
All research outputs
#15,688,569
of 23,313,051 outputs
Outputs from ACS Nano
#10,406
of 13,138 outputs
Outputs of similar age
#235,865
of 398,868 outputs
Outputs of similar age from ACS Nano
#208
of 258 outputs
Altmetric has tracked 23,313,051 research outputs across all sources so far. This one is in the 22nd percentile – i.e., 22% of other outputs scored the same or lower than it.
So far Altmetric has tracked 13,138 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 14.4. This one is in the 14th percentile – i.e., 14% 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 398,868 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 31st percentile – i.e., 31% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 258 others from the same source and published within six weeks on either side of this one. This one is in the 13th percentile – i.e., 13% of its contemporaries scored the same or lower than it.