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Mendeley readers
Attention Score in Context
| Title |
Understanding the DayCent model: Calibration, sensitivity, and identifiability through inverse modeling
|
|---|---|
| Published in |
Environmental Modelling & Software, April 2015
|
| DOI | 10.1016/j.envsoft.2014.12.011 |
| Authors |
Magdalena Necpálová, Robert P. Anex, Michael N. Fienen, Stephen J. Del Grosso, Michael J. Castellano, John E. Sawyer, Javed Iqbal, José L. Pantoja, Daniel W. Barker |
Mendeley readers
The data shown below were compiled from readership statistics for 261 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United Kingdom | 1 | <1% |
| United States | 1 | <1% |
| Ireland | 1 | <1% |
| Australia | 1 | <1% |
| Unknown | 257 | 98% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 53 | 20% |
| Student > Ph. D. Student | 49 | 19% |
| Student > Master | 36 | 14% |
| Student > Doctoral Student | 17 | 7% |
| Student > Bachelor | 17 | 7% |
| Other | 35 | 13% |
| Unknown | 54 | 21% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 75 | 29% |
| Environmental Science | 56 | 21% |
| Earth and Planetary Sciences | 19 | 7% |
| Engineering | 12 | 5% |
| Medicine and Dentistry | 3 | 1% |
| Other | 20 | 8% |
| Unknown | 76 | 29% |
Attention Score in Context
This research output has an Altmetric Attention Score of 8. 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 01 March 2023.
All research outputs
#4,370,146
of 25,374,917 outputs
Outputs from Environmental Modelling & Software
#240
of 1,538 outputs
Outputs of similar age
#52,327
of 279,166 outputs
Outputs of similar age from Environmental Modelling & Software
#4
of 12 outputs
Altmetric has tracked 25,374,917 research outputs across all sources so far. Compared to these this one has done well and is in the 82nd percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
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 has done well, scoring higher than 84% 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 279,166 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 80% of its contemporaries.
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 has gotten more attention than average, scoring higher than 66% of its contemporaries.