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An assessment of support vector machines for land cover classification

Overview of attention for article published in International Journal of Remote Sensing, November 2010
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Mentioned by

patent
3 patents

Citations

dimensions_citation
1374 Dimensions

Readers on

mendeley
944 Mendeley
citeulike
1 CiteULike
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Title
An assessment of support vector machines for land cover classification
Published in
International Journal of Remote Sensing, November 2010
DOI 10.1080/01431160110040323
Authors

C. Huang, L. S. Davis, J. R. G. Townshend

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 944 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 9 <1%
Germany 4 <1%
United Kingdom 3 <1%
Brazil 3 <1%
South Africa 2 <1%
Colombia 2 <1%
India 2 <1%
Mexico 2 <1%
Japan 2 <1%
Other 11 1%
Unknown 904 96%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 199 21%
Student > Master 188 20%
Researcher 129 14%
Student > Doctoral Student 58 6%
Student > Bachelor 51 5%
Other 135 14%
Unknown 184 19%
Readers by discipline Count As %
Earth and Planetary Sciences 201 21%
Environmental Science 179 19%
Engineering 105 11%
Agricultural and Biological Sciences 80 8%
Computer Science 75 8%
Other 70 7%
Unknown 234 25%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 3. 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 25 October 2016.
All research outputs
#8,882,501
of 25,837,817 outputs
Outputs from International Journal of Remote Sensing
#517
of 2,335 outputs
Outputs of similar age
#59,152
of 195,083 outputs
Outputs of similar age from International Journal of Remote Sensing
#62
of 264 outputs
Altmetric has tracked 25,837,817 research outputs across all sources so far. This one is in the 42nd percentile – i.e., 42% of other outputs scored the same or lower than it.
So far Altmetric has tracked 2,335 research outputs from this source. They receive a mean Attention Score of 3.8. This one is in the 45th percentile – i.e., 45% of its peers scored the same or lower than it.
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 195,083 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 23rd percentile – i.e., 23% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 264 others from the same source and published within six weeks on either side of this one. This one is in the 8th percentile – i.e., 8% of its contemporaries scored the same or lower than it.