| Title |
Langevin-Type Models II: Self-Targeting Candidates for MCMC Algorithms*
|
|---|---|
| Published in |
Methodology and Computing in Applied Probability, October 1999
|
| DOI | 10.1023/a:1010090512027 |
| Authors |
O. Stramer, R. L. Tweedie |
Mendeley readers
The data shown below were compiled from readership statistics for 36 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Switzerland | 2 | 6% |
| United Kingdom | 1 | 3% |
| Korea, Republic of | 1 | 3% |
| Japan | 1 | 3% |
| United States | 1 | 3% |
| Unknown | 30 | 83% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 9 | 25% |
| Student > Ph. D. Student | 7 | 19% |
| Professor > Associate Professor | 5 | 14% |
| Student > Bachelor | 2 | 6% |
| Professor | 2 | 6% |
| Other | 8 | 22% |
| Unknown | 3 | 8% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 10 | 28% |
| Mathematics | 9 | 25% |
| Engineering | 4 | 11% |
| Agricultural and Biological Sciences | 2 | 6% |
| Psychology | 2 | 6% |
| Other | 5 | 14% |
| Unknown | 4 | 11% |
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 05 May 2022.
All research outputs
#8,533,995
of 25,371,288 outputs
Outputs from Methodology and Computing in Applied Probability
#8
of 98 outputs
Outputs of similar age
#11,570
of 35,601 outputs
Outputs of similar age from Methodology and Computing in Applied Probability
#1
of 1 outputs
Altmetric has tracked 25,371,288 research outputs across all sources so far. This one is in the 43rd percentile – i.e., 43% of other outputs scored the same or lower than it.
So far Altmetric has tracked 98 research outputs from this source. They receive a mean Attention Score of 1.6. This one has gotten more attention than average, scoring higher than 72% of its peers.
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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