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X Demographics
Mendeley readers
Attention Score in Context
| Chapter title |
Density Functional Theory Methods for Computing and Predicting Mechanical Properties
|
|---|---|
| Chapter number | 4 |
| Book title |
Multiscale Materials Modeling for Nanomechanics
|
| Published in |
ADS, August 2016
|
| DOI | 10.1007/978-3-319-33480-6_4 |
| Book ISBNs |
978-3-31-933478-3, 978-3-31-933480-6
|
| Authors |
Niranjan V. Ilawe, Marc N. Cercy Groulx, Bryan M. Wong |
| Editors |
Christopher R. Weinberger, Garritt J. Tucker |
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 % |
|---|---|---|
| United States | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 12 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 12 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Bachelor | 4 | 33% |
| Student > Ph. D. Student | 3 | 25% |
| Professor | 1 | 8% |
| Student > Master | 1 | 8% |
| Researcher | 1 | 8% |
| Other | 0 | 0% |
| Unknown | 2 | 17% |
| Readers by discipline | Count | As % |
|---|---|---|
| Engineering | 3 | 25% |
| Chemistry | 3 | 25% |
| Materials Science | 2 | 17% |
| Chemical Engineering | 1 | 8% |
| Unknown | 3 | 25% |
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 November 2016.
All research outputs
#18,473,108
of 22,890,496 outputs
Outputs from ADS
#31,542
of 37,407 outputs
Outputs of similar age
#258,300
of 337,469 outputs
Outputs of similar age from ADS
#231
of 300 outputs
Altmetric has tracked 22,890,496 research outputs across all sources so far. This one is in the 11th percentile – i.e., 11% of other outputs scored the same or lower than it.
So far Altmetric has tracked 37,407 research outputs from this source. They receive a mean Attention Score of 4.6. This one is in the 8th percentile – i.e., 8% 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 337,469 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 12th percentile – i.e., 12% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 300 others from the same source and published within six weeks on either side of this one. This one is in the 10th percentile – i.e., 10% of its contemporaries scored the same or lower than it.