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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Automatic Detection of Stationary Fronts around Japan Using a Deep Convolutional Neural Network
|
|---|---|
| Published in |
SOLA : Scientific Online Letters on the Atmosphere, January 2019
|
| DOI | 10.2151/sola.2019-028 |
| Authors |
Daisuke Matsuoka, Shiori Sugimoto, Yujin Nakagawa, Shintaro Kawahara, Fumiaki Araki, Yosuke Onoue, Masaaki Iiyama, Koji Koyamada |
X Demographics
The data shown below were collected from the profiles of 7 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 | 2 | 29% |
| Unknown | 5 | 71% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 3 | 43% |
| Scientists | 3 | 43% |
| Science communicators (journalists, bloggers, editors) | 1 | 14% |
Mendeley readers
The data shown below were compiled from readership statistics for 14 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 14 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 5 | 36% |
| Student > Doctoral Student | 1 | 7% |
| Student > Ph. D. Student | 1 | 7% |
| Student > Bachelor | 1 | 7% |
| Student > Master | 1 | 7% |
| Other | 1 | 7% |
| Unknown | 4 | 29% |
| Readers by discipline | Count | As % |
|---|---|---|
| Earth and Planetary Sciences | 4 | 29% |
| Computer Science | 3 | 21% |
| Engineering | 2 | 14% |
| Physics and Astronomy | 1 | 7% |
| Unknown | 4 | 29% |
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 15 December 2019.
All research outputs
#7,269,329
of 25,692,343 outputs
Outputs from SOLA : Scientific Online Letters on the Atmosphere
#73
of 400 outputs
Outputs of similar age
#140,668
of 449,228 outputs
Outputs of similar age from SOLA : Scientific Online Letters on the Atmosphere
#13
of 60 outputs
Altmetric has tracked 25,692,343 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 400 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.8. This one has done well, scoring higher than 80% 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 449,228 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 60 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 78% of its contemporaries.