| Title |
An Overview of Mixed Finite Elements for the Analysis of Inelastic Bidimensional Structures
|
|---|---|
| Published in |
Archives of Computational Methods in Engineering, September 2018
|
| DOI | 10.1007/s11831-018-9293-0 |
| Authors |
Nicola A. Nodargi |
X Demographics
The data shown below were collected from the profiles of 3 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 3 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 2 | 67% |
| Scientists | 1 | 33% |
Mendeley readers
The data shown below were compiled from readership statistics for 10 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 10 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 2 | 20% |
| Student > Ph. D. Student | 1 | 10% |
| Student > Doctoral Student | 1 | 10% |
| Student > Master | 1 | 10% |
| Professor > Associate Professor | 1 | 10% |
| Other | 0 | 0% |
| Unknown | 4 | 40% |
| Readers by discipline | Count | As % |
|---|---|---|
| Engineering | 4 | 40% |
| Physics and Astronomy | 1 | 10% |
| Earth and Planetary Sciences | 1 | 10% |
| Unknown | 4 | 40% |
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 10 July 2018.
All research outputs
#18,575,287
of 23,852,579 outputs
Outputs from Archives of Computational Methods in Engineering
#125
of 178 outputs
Outputs of similar age
#247,683
of 343,205 outputs
Outputs of similar age from Archives of Computational Methods in Engineering
#4
of 6 outputs
Altmetric has tracked 23,852,579 research outputs across all sources so far. This one is in the 19th percentile – i.e., 19% of other outputs scored the same or lower than it.
So far Altmetric has tracked 178 research outputs from this source. They receive a mean Attention Score of 3.3. This one is in the 26th percentile – i.e., 26% 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 343,205 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 22nd percentile – i.e., 22% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 6 others from the same source and published within six weeks on either side of this one. This one has scored higher than 2 of them.