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Mendeley readers
Attention Score in Context
| Title |
Automating calibration, sensitivity and uncertainty analysis of complex models using the R package Flexible Modeling Environment (FME): SWAT as an example
|
|---|---|
| Published in |
Environmental Modelling & Software, May 2012
|
| DOI | 10.1016/j.envsoft.2011.11.013 |
| Authors |
Yiping Wu, Shuguang Liu |
Mendeley readers
The data shown below were compiled from readership statistics for 203 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 5 | 2% |
| Switzerland | 1 | <1% |
| France | 1 | <1% |
| Finland | 1 | <1% |
| India | 1 | <1% |
| Netherlands | 1 | <1% |
| Thailand | 1 | <1% |
| Canada | 1 | <1% |
| Japan | 1 | <1% |
| Other | 1 | <1% |
| Unknown | 189 | 93% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 73 | 36% |
| Researcher | 28 | 14% |
| Student > Master | 26 | 13% |
| Student > Doctoral Student | 10 | 5% |
| Student > Bachelor | 10 | 5% |
| Other | 39 | 19% |
| Unknown | 17 | 8% |
| Readers by discipline | Count | As % |
|---|---|---|
| Engineering | 53 | 26% |
| Environmental Science | 49 | 24% |
| Earth and Planetary Sciences | 34 | 17% |
| Agricultural and Biological Sciences | 17 | 8% |
| Computer Science | 5 | 2% |
| Other | 12 | 6% |
| Unknown | 33 | 16% |
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 16 August 2012.
All research outputs
#22,759,802
of 25,374,917 outputs
Outputs from Environmental Modelling & Software
#1,458
of 1,538 outputs
Outputs of similar age
#159,972
of 175,826 outputs
Outputs of similar age from Environmental Modelling & Software
#12
of 12 outputs
Altmetric has tracked 25,374,917 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 1,538 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.7. 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 175,826 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 12 others from the same source and published within six weeks on either side of this one. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.