| Title |
A Model Output Machine Learning Method for Grid Temperature Forecasts in the Beijing Area
|
|---|---|
| Published in |
Advances in Atmospheric Sciences, August 2019
|
| DOI | 10.1007/s00376-019-9023-z |
| Authors |
Haochen Li, Chen Yu, Jiangjiang Xia, Yingchun Wang, Jiang Zhu, Pingwen Zhang |
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 % |
|---|---|---|
| United States | 1 | 33% |
| Unknown | 2 | 67% |
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 38 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 38 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Doctoral Student | 5 | 13% |
| Student > Ph. D. Student | 5 | 13% |
| Student > Bachelor | 4 | 11% |
| Researcher | 3 | 8% |
| Student > Master | 3 | 8% |
| Other | 4 | 11% |
| Unknown | 14 | 37% |
| Readers by discipline | Count | As % |
|---|---|---|
| Earth and Planetary Sciences | 11 | 29% |
| Computer Science | 4 | 11% |
| Environmental Science | 2 | 5% |
| Mathematics | 1 | 3% |
| Biochemistry, Genetics and Molecular Biology | 1 | 3% |
| Other | 5 | 13% |
| Unknown | 14 | 37% |
Attention Score in Context
This research output has an Altmetric Attention Score of 21. 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 19 October 2019.
All research outputs
#1,516,269
of 23,154,520 outputs
Outputs from Advances in Atmospheric Sciences
#233
of 879 outputs
Outputs of similar age
#33,863
of 342,282 outputs
Outputs of similar age from Advances in Atmospheric Sciences
#5
of 13 outputs
Altmetric has tracked 23,154,520 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 93rd percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 879 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 32.8. This one has gotten more attention than average, scoring higher than 73% 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 342,282 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 90% of its contemporaries.
We're also able to compare this research output to 13 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 61% of its contemporaries.