| Title |
Probabilistic solutions to ordinary differential equations as nonlinear Bayesian filtering: a new perspective
|
|---|---|
| Published in |
Statistics and Computing, September 2019
|
| DOI | 10.1007/s11222-019-09900-1 |
| Authors |
Filip Tronarp, Hans Kersting, Simo Särkkä, Philipp Hennig |
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 % |
|---|---|---|
| Germany | 2 | 67% |
| Unknown | 1 | 33% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 2 | 67% |
| Members of the public | 1 | 33% |
Mendeley readers
The data shown below were compiled from readership statistics for 41 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 41 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 16 | 39% |
| Researcher | 8 | 20% |
| Student > Bachelor | 4 | 10% |
| Student > Master | 2 | 5% |
| Student > Doctoral Student | 1 | 2% |
| Other | 3 | 7% |
| Unknown | 7 | 17% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 13 | 32% |
| Engineering | 8 | 20% |
| Mathematics | 6 | 15% |
| Neuroscience | 2 | 5% |
| Nursing and Health Professions | 1 | 2% |
| Other | 5 | 12% |
| Unknown | 6 | 15% |
Attention Score in Context
This research output has an Altmetric Attention Score of 5. 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 11 November 2021.
All research outputs
#7,009,134
of 25,998,826 outputs
Outputs from Statistics and Computing
#156
of 648 outputs
Outputs of similar age
#114,136
of 356,963 outputs
Outputs of similar age from Statistics and Computing
#5
of 10 outputs
Altmetric has tracked 25,998,826 research outputs across all sources so far. This one has received more attention than most of these and is in the 72nd percentile.
So far Altmetric has tracked 648 research outputs from this source. They receive a mean Attention Score of 3.9. This one has done well, scoring higher than 75% 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 356,963 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 67% of its contemporaries.
We're also able to compare this research output to 10 others from the same source and published within six weeks on either side of this one. This one has scored higher than 5 of them.