| Title |
Weak kam theorem on non compact manifolds
|
|---|---|
| Published in |
Nonlinear Differential Equations and Applications NoDEA, August 2007
|
| DOI | 10.1007/s00030-007-2047-6 |
| Authors |
Albert Fathi, Ezequiel Maderna |
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 13 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United Kingdom | 1 | 8% |
| Unknown | 12 | 92% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Professor | 4 | 31% |
| Student > Ph. D. Student | 3 | 23% |
| Professor > Associate Professor | 3 | 23% |
| Researcher | 1 | 8% |
| Student > Bachelor | 1 | 8% |
| Other | 0 | 0% |
| Unknown | 1 | 8% |
| Readers by discipline | Count | As % |
|---|---|---|
| Mathematics | 10 | 77% |
| Business, Management and Accounting | 1 | 8% |
| Physics and Astronomy | 1 | 8% |
| Unknown | 1 | 8% |
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 25 February 2015.
All research outputs
#17,566,161
of 25,753,578 outputs
Outputs from Nonlinear Differential Equations and Applications NoDEA
#14
of 90 outputs
Outputs of similar age
#68,839
of 79,242 outputs
Outputs of similar age from Nonlinear Differential Equations and Applications NoDEA
#1
of 1 outputs
Altmetric has tracked 25,753,578 research outputs across all sources so far. This one is in the 21st percentile – i.e., 21% of other outputs scored the same or lower than it.
So far Altmetric has tracked 90 research outputs from this source. They receive a mean Attention Score of 0.8. This one has gotten more attention than average, scoring higher than 70% 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 79,242 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 7th percentile – i.e., 7% 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