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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Accuracies Achieved in Classifying Five Leading World Crop Types and their Growth Stages Using Optimal Earth Observing-1 Hyperion Hyperspectral Narrowbands on Google Earth Engine
|
|---|---|
| Published in |
Remote Sensing, December 2018
|
| DOI | 10.3390/rs10122027 |
| Authors |
Itiya Aneece, Prasad Thenkabail |
X Demographics
The data shown below were collected from the profiles of 16 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Mexico | 2 | 13% |
| India | 1 | 6% |
| Spain | 1 | 6% |
| Belize | 1 | 6% |
| Russia | 1 | 6% |
| Uruguay | 1 | 6% |
| Bangladesh | 1 | 6% |
| Ecuador | 1 | 6% |
| Colombia | 1 | 6% |
| Other | 0 | 0% |
| Unknown | 6 | 38% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 11 | 69% |
| Scientists | 4 | 25% |
| Science communicators (journalists, bloggers, editors) | 1 | 6% |
Mendeley readers
The data shown below were compiled from readership statistics for 141 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 141 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 30 | 21% |
| Student > Master | 23 | 16% |
| Student > Ph. D. Student | 22 | 16% |
| Student > Bachelor | 7 | 5% |
| Student > Doctoral Student | 6 | 4% |
| Other | 14 | 10% |
| Unknown | 39 | 28% |
| Readers by discipline | Count | As % |
|---|---|---|
| Engineering | 23 | 16% |
| Environmental Science | 22 | 16% |
| Earth and Planetary Sciences | 17 | 12% |
| Agricultural and Biological Sciences | 14 | 10% |
| Computer Science | 11 | 8% |
| Other | 11 | 8% |
| Unknown | 43 | 30% |
Attention Score in Context
This research output has an Altmetric Attention Score of 10. 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 05 December 2020.
All research outputs
#2,992,322
of 23,120,280 outputs
Outputs from Remote Sensing
#986
of 11,527 outputs
Outputs of similar age
#69,940
of 436,736 outputs
Outputs of similar age from Remote Sensing
#33
of 299 outputs
Altmetric has tracked 23,120,280 research outputs across all sources so far. Compared to these this one has done well and is in the 86th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 11,527 research outputs from this source. They receive a mean Attention Score of 4.4. 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 436,736 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 83% of its contemporaries.
We're also able to compare this research output to 299 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 87% of its contemporaries.