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Mendeley readers
Attention Score in Context
| Title |
Determining the importance of model calibration for forecasting absolute/relative changes in streamflow from LULC and climate changes
|
|---|---|
| Published in |
Journal of Hydrology, March 2015
|
| DOI | 10.1016/j.jhydrol.2015.01.007 |
| Authors |
Rewati Niraula, Thomas Meixner, Laura M. Norman |
Mendeley readers
The data shown below were compiled from readership statistics for 184 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Indonesia | 1 | <1% |
| United States | 1 | <1% |
| Brazil | 1 | <1% |
| Unknown | 181 | 98% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 41 | 22% |
| Student > Master | 30 | 16% |
| Student > Doctoral Student | 18 | 10% |
| Researcher | 16 | 9% |
| Lecturer | 8 | 4% |
| Other | 25 | 14% |
| Unknown | 46 | 25% |
| Readers by discipline | Count | As % |
|---|---|---|
| Engineering | 46 | 25% |
| Environmental Science | 37 | 20% |
| Earth and Planetary Sciences | 24 | 13% |
| Agricultural and Biological Sciences | 9 | 5% |
| Unspecified | 4 | 2% |
| Other | 9 | 5% |
| Unknown | 55 | 30% |
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 01 January 2017.
All research outputs
#8,534,976
of 25,374,647 outputs
Outputs from Journal of Hydrology
#1,405
of 8,696 outputs
Outputs of similar age
#93,784
of 270,992 outputs
Outputs of similar age from Journal of Hydrology
#10
of 36 outputs
Altmetric has tracked 25,374,647 research outputs across all sources so far. This one is in the 43rd percentile – i.e., 43% of other outputs scored the same or lower than it.
So far Altmetric has tracked 8,696 research outputs from this source. They receive a mean Attention Score of 3.2. This one has gotten more attention than average, scoring higher than 71% 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 270,992 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 54% of its contemporaries.
We're also able to compare this research output to 36 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 50% of its contemporaries.