The data shown below were collected from the profiles of 8 X users who shared this research output. Click here to find out more about how the information was compiled.
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X Demographics
Mendeley readers
Attention Score in Context
Title |
Tropical Cyclone Track Forecasting Using Fused Deep Learning From Aligned Reanalysis Data
|
---|---|
Published in |
arXiv, January 2020
|
DOI | 10.3389/fdata.2020.00001 |
Pubmed ID | |
Authors |
Sophie Giffard-Roisin, Mo Yang, Guillaume Charpiat, Christina Kumler Bonfanti, Balázs Kégl, Claire Monteleoni |
X Demographics
Geographical breakdown
Country | Count | As % |
---|---|---|
Japan | 1 | 13% |
Italy | 1 | 13% |
Switzerland | 1 | 13% |
Unknown | 5 | 63% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 6 | 75% |
Science communicators (journalists, bloggers, editors) | 1 | 13% |
Scientists | 1 | 13% |
Mendeley readers
The data shown below were compiled from readership statistics for 95 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 95 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 15 | 16% |
Researcher | 13 | 14% |
Student > Master | 8 | 8% |
Student > Doctoral Student | 7 | 7% |
Other | 5 | 5% |
Other | 8 | 8% |
Unknown | 39 | 41% |
Readers by discipline | Count | As % |
---|---|---|
Earth and Planetary Sciences | 15 | 16% |
Computer Science | 12 | 13% |
Engineering | 10 | 11% |
Environmental Science | 5 | 5% |
Economics, Econometrics and Finance | 2 | 2% |
Other | 9 | 9% |
Unknown | 42 | 44% |
Attention Score in Context
This research output has an Altmetric Attention Score of 5. 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 23 October 2022.
All research outputs
#7,209,370
of 25,387,668 outputs
Outputs from arXiv
#121,086
of 915,125 outputs
Outputs of similar age
#148,956
of 471,048 outputs
Outputs of similar age from arXiv
#3,728
of 20,667 outputs
Altmetric has tracked 25,387,668 research outputs across all sources so far. This one has received more attention than most of these and is in the 71st percentile.
So far Altmetric has tracked 915,125 research outputs from this source. They receive a mean Attention Score of 4.3. This one has done well, scoring higher than 86% 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 471,048 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 68% of its contemporaries.
We're also able to compare this research output to 20,667 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 81% of its contemporaries.