| Chapter title |
‘Modelling the Arctic Boundary Layer: An Evaluation of Six Arcmip Regional-Scale Models using Data from the Sheba Project’
|
|---|---|
| Published in |
Boundary-Layer Meteorology, November 2005
|
| DOI | 10.1007/s10546-004-7954-z |
| Authors |
Michael Tjernström, Mark Žagar, Gunilla Svensson, John J. Cassano, Susanne Pfeifer, Annette Rinke, Klaus Wyser, Klaus Dethloff, Colin Jones, Tido Semmler, Michael Shaw |
Mendeley readers
The data shown below were compiled from readership statistics for 65 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United Kingdom | 2 | 3% |
| Netherlands | 1 | 2% |
| Australia | 1 | 2% |
| Norway | 1 | 2% |
| Sweden | 1 | 2% |
| Canada | 1 | 2% |
| Unknown | 58 | 89% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 24 | 37% |
| Student > Ph. D. Student | 13 | 20% |
| Student > Master | 7 | 11% |
| Professor | 5 | 8% |
| Other | 3 | 5% |
| Other | 5 | 8% |
| Unknown | 8 | 12% |
| Readers by discipline | Count | As % |
|---|---|---|
| Earth and Planetary Sciences | 38 | 58% |
| Environmental Science | 13 | 20% |
| Agricultural and Biological Sciences | 2 | 3% |
| Psychology | 1 | 2% |
| Mathematics | 1 | 2% |
| Other | 2 | 3% |
| Unknown | 8 | 12% |
Attention Score in Context
This research output has an Altmetric Attention Score of 12. 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 02 November 2020.
All research outputs
#2,587,452
of 23,666,309 outputs
Outputs from Boundary-Layer Meteorology
#11
of 737 outputs
Outputs of similar age
#4,546
of 61,797 outputs
Outputs of similar age from Boundary-Layer Meteorology
#1
of 3 outputs
Altmetric has tracked 23,666,309 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 737 research outputs from this source. They receive a mean Attention Score of 2.9. This one has done particularly well, scoring higher than 98% 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 61,797 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 91% of its contemporaries.
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. This one has scored higher than all of them