Earth Observation Open Science and Innovation
Springer, Cham
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X Demographics
Mendeley readers
Attention Score in Context
| Chapter title |
Machine Learning Applications for Earth Observation
|
|---|---|
| Chapter number | 8 |
| Book title |
Earth Observation Open Science and Innovation
|
| Published in |
ADS, January 2018
|
| DOI | 10.1007/978-3-319-65633-5_8 |
| Book ISBNs |
978-3-31-965632-8, 978-3-31-965633-5
|
| Authors |
David J. Lary, Gebreab K. Zewdie, Xun Liu, Daji Wu, Estelle Levetin, Rebecca J. Allee, Nabin Malakar, Annette Walker, Hamse Mussa, Antonio Mannino, Dirk Aurin, Lary, David J., Zewdie, Gebreab K., Liu, Xun, Wu, Daji, Levetin, Estelle, Allee, Rebecca J., Malakar, Nabin, Walker, Annette, Mussa, Hamse, Mannino, Antonio, Aurin, Dirk |
X Demographics
The data shown below were collected from the profiles of 2 X users who shared this research output. Click here to find out more about how the information was compiled.
As of 1 July 2024, you may notice a temporary increase in the numbers of X profiles with Unknown location. Click here to learn more.
As of 1 July 2024, you may notice a temporary increase in the numbers of X profiles with Unknown location. Click here to learn more.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 1 | 50% |
| Unknown | 1 | 50% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 1 | 50% |
| Scientists | 1 | 50% |
Mendeley readers
The data shown below were compiled from readership statistics for 158 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 158 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 23 | 15% |
| Researcher | 23 | 15% |
| Student > Master | 15 | 9% |
| Student > Doctoral Student | 11 | 7% |
| Lecturer | 9 | 6% |
| Other | 27 | 17% |
| Unknown | 50 | 32% |
| Readers by discipline | Count | As % |
|---|---|---|
| Earth and Planetary Sciences | 26 | 16% |
| Environmental Science | 20 | 13% |
| Computer Science | 19 | 12% |
| Agricultural and Biological Sciences | 11 | 7% |
| Engineering | 9 | 6% |
| Other | 16 | 10% |
| Unknown | 57 | 36% |
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 02 November 2018.
All research outputs
#6,707,205
of 24,378,498 outputs
Outputs from ADS
#8,233
of 39,195 outputs
Outputs of similar age
#128,560
of 451,165 outputs
Outputs of similar age from ADS
#117
of 985 outputs
Altmetric has tracked 24,378,498 research outputs across all sources so far. This one has received more attention than most of these and is in the 72nd percentile.
So far Altmetric has tracked 39,195 research outputs from this source. They receive a mean Attention Score of 4.7. This one has done well, scoring higher than 78% 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 451,165 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 71% of its contemporaries.
We're also able to compare this research output to 985 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 88% of its contemporaries.