| Title |
Multivariate quantile mapping bias correction: an N-dimensional probability density function transform for climate model simulations of multiple variables
|
|---|---|
| Published in |
Climate Dynamics, March 2017
|
| DOI | 10.1007/s00382-017-3580-6 |
| Authors |
Alex J. Cannon |
X Demographics
The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United Kingdom | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 392 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 392 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 75 | 19% |
| Researcher | 69 | 18% |
| Student > Master | 35 | 9% |
| Other | 22 | 6% |
| Student > Doctoral Student | 18 | 5% |
| Other | 59 | 15% |
| Unknown | 114 | 29% |
| Readers by discipline | Count | As % |
|---|---|---|
| Earth and Planetary Sciences | 77 | 20% |
| Engineering | 65 | 17% |
| Environmental Science | 58 | 15% |
| Agricultural and Biological Sciences | 13 | 3% |
| Computer Science | 8 | 2% |
| Other | 42 | 11% |
| Unknown | 129 | 33% |
Attention Score in Context
This research output has an Altmetric Attention Score of 13. 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 04 May 2023.
All research outputs
#2,833,199
of 26,017,215 outputs
Outputs from Climate Dynamics
#783
of 5,529 outputs
Outputs of similar age
#50,662
of 326,691 outputs
Outputs of similar age from Climate Dynamics
#17
of 125 outputs
Altmetric has tracked 26,017,215 research outputs across all sources so far. Compared to these this one has done well and is in the 88th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 5,529 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 8.4. This one has done well, scoring higher than 85% 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 326,691 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 84% of its contemporaries.
We're also able to compare this research output to 125 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 85% of its contemporaries.