| Title |
Bayesian Methods for Quantifying and Reducing Uncertainty and Error in Forest Models
|
|---|---|
| Published in |
Current Forestry Reports, September 2017
|
| DOI | 10.1007/s40725-017-0069-9 |
| Authors |
Marcel van Oijen |
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 % |
|---|---|---|
| Members of the public | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 68 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 68 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 15 | 22% |
| Researcher | 14 | 21% |
| Student > Bachelor | 7 | 10% |
| Student > Doctoral Student | 6 | 9% |
| Student > Master | 6 | 9% |
| Other | 11 | 16% |
| Unknown | 9 | 13% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 19 | 28% |
| Environmental Science | 12 | 18% |
| Earth and Planetary Sciences | 7 | 10% |
| Engineering | 5 | 7% |
| Immunology and Microbiology | 1 | 1% |
| Other | 7 | 10% |
| Unknown | 17 | 25% |
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 20 November 2017.
All research outputs
#23,391,126
of 26,017,215 outputs
Outputs from Current Forestry Reports
#140
of 142 outputs
Outputs of similar age
#288,774
of 327,675 outputs
Outputs of similar age from Current Forestry Reports
#3
of 3 outputs
Altmetric has tracked 26,017,215 research outputs across all sources so far. This one is in the 1st percentile – i.e., 1% of other outputs scored the same or lower than it.
So far Altmetric has tracked 142 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 11.2. This one is in the 1st percentile – i.e., 1% of its peers scored the same or lower than it.
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 327,675 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 3 others from the same source and published within six weeks on either side of this one.