| Title |
Autoencoder-based identification of predictors of Indian monsoon
|
|---|---|
| Published in |
Meteorology and Atmospheric Physics, February 2016
|
| DOI | 10.1007/s00703-016-0431-7 |
| Authors |
Moumita Saha, Pabitra Mitra, Ravi S. Nanjundiah |
X Demographics
The data shown below were collected from the profiles of 2 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 2 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 1 | 50% |
| Members of the public | 1 | 50% |
Mendeley readers
The data shown below were compiled from readership statistics for 36 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 36 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 9 | 25% |
| Student > Master | 7 | 19% |
| Researcher | 6 | 17% |
| Student > Bachelor | 4 | 11% |
| Student > Doctoral Student | 2 | 6% |
| Other | 6 | 17% |
| Unknown | 2 | 6% |
| Readers by discipline | Count | As % |
|---|---|---|
| Earth and Planetary Sciences | 9 | 25% |
| Engineering | 7 | 19% |
| Computer Science | 6 | 17% |
| Physics and Astronomy | 3 | 8% |
| Agricultural and Biological Sciences | 1 | 3% |
| Other | 4 | 11% |
| Unknown | 6 | 17% |
Attention Score in Context
This research output has an Altmetric Attention Score of 2. 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 30 March 2017.
All research outputs
#15,115,851
of 23,999,200 outputs
Outputs from Meteorology and Atmospheric Physics
#221
of 341 outputs
Outputs of similar age
#215,832
of 404,271 outputs
Outputs of similar age from Meteorology and Atmospheric Physics
#2
of 7 outputs
Altmetric has tracked 23,999,200 research outputs across all sources so far. This one is in the 34th percentile – i.e., 34% 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 33rd percentile – i.e., 33% 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 404,271 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 44th percentile – i.e., 44% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 7 others from the same source and published within six weeks on either side of this one. This one has scored higher than 5 of them.