| Title |
A Comparative Assessment of Models to Predict Monthly Rainfall in Australia
|
|---|---|
| Published in |
Water Resources Management, January 2018
|
| DOI | 10.1007/s11269-018-1903-y |
| Authors |
Adil M. Bagirov, Arshad Mahmood |
X Demographics
The data shown below were collected from the profiles of 3 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Australia | 2 | 67% |
| Unknown | 1 | 33% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 2 | 67% |
| Scientists | 1 | 33% |
Mendeley readers
The data shown below were compiled from readership statistics for 30 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 30 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 5 | 17% |
| Student > Master | 4 | 13% |
| Lecturer | 3 | 10% |
| Researcher | 3 | 10% |
| Student > Postgraduate | 2 | 7% |
| Other | 5 | 17% |
| Unknown | 8 | 27% |
| Readers by discipline | Count | As % |
|---|---|---|
| Engineering | 10 | 33% |
| Computer Science | 5 | 17% |
| Environmental Science | 2 | 7% |
| Physics and Astronomy | 1 | 3% |
| Mathematics | 1 | 3% |
| Other | 2 | 7% |
| Unknown | 9 | 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 06 March 2018.
All research outputs
#13,228,623
of 23,023,224 outputs
Outputs from Water Resources Management
#317
of 618 outputs
Outputs of similar age
#211,354
of 441,899 outputs
Outputs of similar age from Water Resources Management
#3
of 11 outputs
Altmetric has tracked 23,023,224 research outputs across all sources so far. This one is in the 42nd percentile – i.e., 42% of other outputs scored the same or lower than it.
So far Altmetric has tracked 618 research outputs from this source. They receive a mean Attention Score of 4.2. This one is in the 48th percentile – i.e., 48% 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 441,899 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 51% of its contemporaries.
We're also able to compare this research output to 11 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 72% of its contemporaries.