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Mendeley readers
Attention Score in Context
| Title |
Atomic scale investigation of silicon nanowires and nanoclusters
|
|---|---|
| Published in |
Discover Nano, March 2011
|
| DOI | 10.1186/1556-276x-6-271 |
| Pubmed ID | |
| Authors |
Manuel Roussel, Wanghua Chen, Etienne Talbot, Rodrigue Lardé, Emmanuel Cadel, Fabrice Gourbilleau, Bruno Grandidier, Didier Stiévenard, Philippe Pareige |
| Abstract |
In this study, we have performed nanoscale characterization of Si-clusters and Si-nanowires with a laser-assisted tomographic atom probe. Intrinsic and p-type silicon nanowires (SiNWs) are elaborated by chemical vapor deposition method using gold as catalyst, silane as silicon precursor, and diborane as dopant reactant. The concentration and distribution of impurity (gold) and dopant (boron) in SiNW are investigated and discussed. Silicon nanoclusters are produced by thermal annealing of silicon-rich silicon oxide and silica multilayers. In this process, atom probe tomography (APT) provides accurate information on the silicon nanoparticles and the chemistry of the nanolayers. |
X Demographics
The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Germany | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 21 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Russia | 1 | 5% |
| Unknown | 20 | 95% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 7 | 33% |
| Student > Ph. D. Student | 3 | 14% |
| Professor > Associate Professor | 2 | 10% |
| Student > Master | 2 | 10% |
| Lecturer > Senior Lecturer | 1 | 5% |
| Other | 3 | 14% |
| Unknown | 3 | 14% |
| Readers by discipline | Count | As % |
|---|---|---|
| Physics and Astronomy | 9 | 43% |
| Materials Science | 5 | 24% |
| Energy | 1 | 5% |
| Chemistry | 1 | 5% |
| Unknown | 5 | 24% |
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 26 May 2014.
All research outputs
#22,759,452
of 25,374,647 outputs
Outputs from Discover Nano
#798
of 1,146 outputs
Outputs of similar age
#113,245
of 120,379 outputs
Outputs of similar age from Discover Nano
#26
of 29 outputs
Altmetric has tracked 25,374,647 research outputs across all sources so far. This one is in the 1st percentile – i.e., 1% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,146 research outputs from this source. They receive a mean Attention Score of 3.5. This one is in the 1st percentile – i.e., 1% 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 120,379 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 29 others from the same source and published within six weeks on either side of this one. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.