| Title |
Classification of imbalanced cloud image data using deep neural networks: performance improvement through a data science competition
|
|---|---|
| Published in |
Progress in Earth and Planetary Science, December 2021
|
| DOI | 10.1186/s40645-021-00459-y |
| Authors |
Daisuke Matsuoka |
X Demographics
The data shown below were collected from the profiles of 17 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Japan | 6 | 35% |
| Unknown | 11 | 65% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 15 | 88% |
| Science communicators (journalists, bloggers, editors) | 1 | 6% |
| Scientists | 1 | 6% |
Mendeley readers
The data shown below were compiled from readership statistics for 12 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 12 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 4 | 33% |
| Researcher | 3 | 25% |
| Unknown | 5 | 42% |
| Readers by discipline | Count | As % |
|---|---|---|
| Earth and Planetary Sciences | 2 | 17% |
| Arts and Humanities | 1 | 8% |
| Agricultural and Biological Sciences | 1 | 8% |
| Mathematics | 1 | 8% |
| Economics, Econometrics and Finance | 1 | 8% |
| Other | 1 | 8% |
| Unknown | 5 | 42% |
Attention Score in Context
This research output has an Altmetric Attention Score of 11. 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 10 January 2022.
All research outputs
#3,035,719
of 24,294,767 outputs
Outputs from Progress in Earth and Planetary Science
#49
of 560 outputs
Outputs of similar age
#71,765
of 509,480 outputs
Outputs of similar age from Progress in Earth and Planetary Science
#3
of 19 outputs
Altmetric has tracked 24,294,767 research outputs across all sources so far. Compared to these this one has done well and is in the 87th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 560 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.9. This one has done particularly well, scoring higher than 91% 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 509,480 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 85% of its contemporaries.
We're also able to compare this research output to 19 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 84% of its contemporaries.