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Mendeley readers
Attention Score in Context
| Title |
Use of Regional Climate Model Output for Hydrologic Simulations
|
|---|---|
| Published in |
Journal of Hydrometeorology, October 2002
|
| DOI | 10.1175/1525-7541(2002)003<0571:uorcmo>2.0.co;2 |
| Authors |
L. E. Hay, M. P. Clark, R. L. Wilby, W. J. Gutowski, G. H. Leavesley, Z. Pan, R. W. Arritt, E. S. Takle |
Mendeley readers
The data shown below were compiled from readership statistics for 143 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 4 | 3% |
| Germany | 2 | 1% |
| Norway | 1 | <1% |
| Italy | 1 | <1% |
| India | 1 | <1% |
| Malaysia | 1 | <1% |
| Canada | 1 | <1% |
| Czechia | 1 | <1% |
| Belgium | 1 | <1% |
| Other | 1 | <1% |
| Unknown | 129 | 90% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 40 | 28% |
| Student > Ph. D. Student | 33 | 23% |
| Student > Master | 16 | 11% |
| Professor > Associate Professor | 11 | 8% |
| Student > Doctoral Student | 4 | 3% |
| Other | 17 | 12% |
| Unknown | 22 | 15% |
| Readers by discipline | Count | As % |
|---|---|---|
| Earth and Planetary Sciences | 55 | 38% |
| Engineering | 26 | 18% |
| Environmental Science | 24 | 17% |
| Computer Science | 2 | 1% |
| Agricultural and Biological Sciences | 2 | 1% |
| Other | 11 | 8% |
| Unknown | 23 | 16% |
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 19 March 2009.
All research outputs
#7,585,824
of 23,132,033 outputs
Outputs from Journal of Hydrometeorology
#336
of 1,031 outputs
Outputs of similar age
#15,814
of 46,843 outputs
Outputs of similar age from Journal of Hydrometeorology
#1
of 2 outputs
Altmetric has tracked 23,132,033 research outputs across all sources so far. This one is in the 44th percentile – i.e., 44% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,031 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.1. This one has gotten more attention than average, scoring higher than 50% 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 46,843 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 11th percentile – i.e., 11% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 2 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