The data shown below were collected from the profiles of 101 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 |
Ten deep learning techniques to address small data problems with remote sensing
|
|---|---|
| Published in |
International Journal of Applied Earth Observation & Geoinformation, December 2023
|
| DOI | 10.1016/j.jag.2023.103569 |
| Authors |
Anastasiia Safonova, Gohar Ghazaryan, Stefan Stiller, Magdalena Main-Knorn, Claas Nendel, Masahiro Ryo |
X Demographics
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Germany | 4 | 4% |
| Brazil | 4 | 4% |
| China | 2 | 2% |
| United States | 2 | 2% |
| Finland | 1 | <1% |
| Ecuador | 1 | <1% |
| Hong Kong | 1 | <1% |
| Taiwan | 1 | <1% |
| Portugal | 1 | <1% |
| Other | 10 | 10% |
| Unknown | 74 | 73% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 53 | 52% |
| Members of the public | 47 | 47% |
| Science communicators (journalists, bloggers, editors) | 1 | <1% |
Mendeley readers
The data shown below were compiled from readership statistics for 119 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 119 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 21 | 18% |
| Unspecified | 19 | 16% |
| Researcher | 15 | 13% |
| Student > Bachelor | 6 | 5% |
| Student > Master | 6 | 5% |
| Other | 15 | 13% |
| Unknown | 37 | 31% |
| Readers by discipline | Count | As % |
|---|---|---|
| Unspecified | 18 | 15% |
| Engineering | 14 | 12% |
| Earth and Planetary Sciences | 11 | 9% |
| Agricultural and Biological Sciences | 11 | 9% |
| Computer Science | 10 | 8% |
| Other | 17 | 14% |
| Unknown | 38 | 32% |
Attention Score in Context
This research output has an Altmetric Attention Score of 66. 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 01 February 2024.
All research outputs
#691,466
of 26,588,416 outputs
Outputs from International Journal of Applied Earth Observation & Geoinformation
#18
of 1,700 outputs
Outputs of similar age
#11,825
of 397,061 outputs
Outputs of similar age from International Journal of Applied Earth Observation & Geoinformation
#1
of 17 outputs
Altmetric has tracked 26,588,416 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 97th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,700 research outputs from this source. They receive a mean Attention Score of 4.8. This one has done particularly well, scoring higher than 98% 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 397,061 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 97% of its contemporaries.
We're also able to compare this research output to 17 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 94% of its contemporaries.