| Title |
Recent progress in ab initio simulations of hafnia-based gate stacks
|
|---|---|
| Published in |
Journal of Materials Science, May 2012
|
| DOI | 10.1007/s10853-012-6568-y |
| Authors |
H. Zhu, C. Tang, L. R. C. Fonseca, R. Ramprasad |
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 % |
|---|---|---|
| Australia | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 98 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Brazil | 2 | 2% |
| China | 1 | 1% |
| Colombia | 1 | 1% |
| Unknown | 94 | 96% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 25 | 26% |
| Researcher | 23 | 23% |
| Professor | 7 | 7% |
| Professor > Associate Professor | 7 | 7% |
| Student > Master | 7 | 7% |
| Other | 16 | 16% |
| Unknown | 13 | 13% |
| Readers by discipline | Count | As % |
|---|---|---|
| Materials Science | 27 | 28% |
| Physics and Astronomy | 22 | 22% |
| Engineering | 15 | 15% |
| Chemistry | 10 | 10% |
| Chemical Engineering | 3 | 3% |
| Other | 2 | 2% |
| Unknown | 19 | 19% |
Attention Score in Context
This research output has an Altmetric Attention Score of 4. 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 05 December 2022.
All research outputs
#6,960,317
of 23,275,636 outputs
Outputs from Journal of Materials Science
#886
of 4,669 outputs
Outputs of similar age
#48,820
of 166,061 outputs
Outputs of similar age from Journal of Materials Science
#9
of 31 outputs
Altmetric has tracked 23,275,636 research outputs across all sources so far. This one has received more attention than most of these and is in the 69th percentile.
So far Altmetric has tracked 4,669 research outputs from this source. They receive a mean Attention Score of 3.4. This one has done well, scoring higher than 80% 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 166,061 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 70% of its contemporaries.
We're also able to compare this research output to 31 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 70% of its contemporaries.