| Title |
Recent advances in the construction of polygonal finite element interpolants
|
|---|---|
| Published in |
Archives of Computational Methods in Engineering, March 2006
|
| DOI | 10.1007/bf02905933 |
| Authors |
N. Sukumar, E. A. Malsch |
Mendeley readers
The data shown below were compiled from readership statistics for 107 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 2 | 2% |
| Spain | 2 | 2% |
| Germany | 1 | <1% |
| Chile | 1 | <1% |
| United Kingdom | 1 | <1% |
| Colombia | 1 | <1% |
| India | 1 | <1% |
| China | 1 | <1% |
| Unknown | 97 | 91% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 39 | 36% |
| Researcher | 16 | 15% |
| Student > Master | 9 | 8% |
| Professor > Associate Professor | 8 | 7% |
| Lecturer | 5 | 5% |
| Other | 18 | 17% |
| Unknown | 12 | 11% |
| Readers by discipline | Count | As % |
|---|---|---|
| Engineering | 55 | 51% |
| Mathematics | 13 | 12% |
| Computer Science | 7 | 7% |
| Physics and Astronomy | 5 | 5% |
| Materials Science | 3 | 3% |
| Other | 7 | 7% |
| Unknown | 17 | 16% |
Attention Score in Context
This research output has an Altmetric Attention Score of 3. 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 24 September 2019.
All research outputs
#7,567,797
of 23,081,466 outputs
Outputs from Archives of Computational Methods in Engineering
#36
of 171 outputs
Outputs of similar age
#24,943
of 72,308 outputs
Outputs of similar age from Archives of Computational Methods in Engineering
#1
of 1 outputs
Altmetric has tracked 23,081,466 research outputs across all sources so far. This one is in the 44th percentile – i.e., 44% of other outputs scored the same or lower than it.
So far Altmetric has tracked 171 research outputs from this source. They receive a mean Attention Score of 3.3. This one has gotten more attention than average, scoring higher than 66% 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 72,308 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 13th percentile – i.e., 13% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 1 others from the same source and published within six weeks on either side of this one. This one has scored higher than all of them