Title |
Rainfall-runoff modeling at Jinsha River basin by integrated neural network with discrete wavelet transform
|
---|---|
Published in |
Meteorology and Atmospheric Physics, September 2017
|
DOI | 10.1007/s00703-017-0546-5 |
Authors |
Muhammad Tayyab, Jianzhong Zhou, Xiaohua Dong, Ijaz Ahmad, Na Sun |
X Demographics
The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
Country | Count | As % |
---|---|---|
United States | 1 | 100% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 45 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 45 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 16 | 36% |
Student > Bachelor | 5 | 11% |
Student > Doctoral Student | 4 | 9% |
Student > Master | 4 | 9% |
Researcher | 3 | 7% |
Other | 4 | 9% |
Unknown | 9 | 20% |
Readers by discipline | Count | As % |
---|---|---|
Engineering | 17 | 38% |
Computer Science | 3 | 7% |
Earth and Planetary Sciences | 3 | 7% |
Mathematics | 2 | 4% |
Social Sciences | 2 | 4% |
Other | 4 | 9% |
Unknown | 14 | 31% |
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 11 January 2018.
All research outputs
#19,516,978
of 23,999,200 outputs
Outputs from Meteorology and Atmospheric Physics
#268
of 341 outputs
Outputs of similar age
#246,855
of 318,658 outputs
Outputs of similar age from Meteorology and Atmospheric Physics
#3
of 5 outputs
Altmetric has tracked 23,999,200 research outputs across all sources so far. This one is in the 10th percentile – i.e., 10% of other outputs scored the same or lower than it.
So far Altmetric has tracked 341 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.2. This one is in the 11th percentile – i.e., 11% 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 318,658 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 12th percentile – i.e., 12% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 5 others from the same source and published within six weeks on either side of this one. This one has scored higher than 2 of them.