| Title |
Enhancing understanding and improving prediction of severe weather through spatiotemporal relational learning
|
|---|---|
| Published in |
Machine Learning, April 2013
|
| DOI | 10.1007/s10994-013-5343-x |
| Pubmed ID | |
| Authors |
Amy McGovern, David J. Gagne, John K. Williams, Rodger A. Brown, Jeffrey B. Basara |
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 % |
|---|---|---|
| Scientists | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 79 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Australia | 1 | 1% |
| Unknown | 78 | 99% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 18 | 23% |
| Student > Ph. D. Student | 16 | 20% |
| Student > Master | 13 | 16% |
| Student > Doctoral Student | 7 | 9% |
| Student > Bachelor | 5 | 6% |
| Other | 9 | 11% |
| Unknown | 11 | 14% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 21 | 27% |
| Earth and Planetary Sciences | 18 | 23% |
| Engineering | 6 | 8% |
| Social Sciences | 4 | 5% |
| Agricultural and Biological Sciences | 3 | 4% |
| Other | 14 | 18% |
| Unknown | 13 | 16% |
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 29 October 2015.
All research outputs
#18,429,829
of 22,831,537 outputs
Outputs from Machine Learning
#884
of 966 outputs
Outputs of similar age
#150,671
of 198,762 outputs
Outputs of similar age from Machine Learning
#9
of 11 outputs
Altmetric has tracked 22,831,537 research outputs across all sources so far. This one is in the 11th percentile – i.e., 11% of other outputs scored the same or lower than it.
So far Altmetric has tracked 966 research outputs from this source. They receive a mean Attention Score of 4.4. This one is in the 2nd percentile – i.e., 2% 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 198,762 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 11 others from the same source and published within six weeks on either side of this one. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.