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X Demographics
Mendeley readers
Attention Score in Context
Title |
A deep learning method for real-time bias correction of wind field forecasts in the Western North Pacific
|
---|---|
Published in |
Atmospheric Research, March 2023
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DOI | 10.1016/j.atmosres.2022.106586 |
Authors |
Wei Zhang, Yueyue Jiang, Junyu Dong, Xiaojiang Song, Renbo Pang, Boyu Guoan, Hui Yu |
X Demographics
The data shown below were collected from the profiles of 21 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
Country | Count | As % |
---|---|---|
France | 2 | 10% |
United States | 2 | 10% |
China | 1 | 5% |
Mexico | 1 | 5% |
Malaysia | 1 | 5% |
Brazil | 1 | 5% |
Pakistan | 1 | 5% |
Russia | 1 | 5% |
Romania | 1 | 5% |
Other | 3 | 14% |
Unknown | 7 | 33% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 15 | 71% |
Scientists | 3 | 14% |
Science communicators (journalists, bloggers, editors) | 2 | 10% |
Practitioners (doctors, other healthcare professionals) | 1 | 5% |
Mendeley readers
The data shown below were compiled from readership statistics for 17 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 17 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Other | 2 | 12% |
Student > Ph. D. Student | 2 | 12% |
Professor > Associate Professor | 2 | 12% |
Student > Doctoral Student | 1 | 6% |
Researcher | 1 | 6% |
Other | 1 | 6% |
Unknown | 8 | 47% |
Readers by discipline | Count | As % |
---|---|---|
Computer Science | 4 | 24% |
Engineering | 3 | 18% |
Earth and Planetary Sciences | 1 | 6% |
Arts and Humanities | 1 | 6% |
Unknown | 8 | 47% |
Attention Score in Context
This research output has an Altmetric Attention Score of 26. 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 26 July 2023.
All research outputs
#1,459,230
of 25,392,582 outputs
Outputs from Atmospheric Research
#60
of 1,572 outputs
Outputs of similar age
#30,293
of 422,415 outputs
Outputs of similar age from Atmospheric Research
#2
of 41 outputs
Altmetric has tracked 25,392,582 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 94th percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,572 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 7.7. This one has done particularly well, scoring higher than 96% 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 422,415 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 92% of its contemporaries.
We're also able to compare this research output to 41 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 95% of its contemporaries.