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Use of artificial neural networks and geographic objects for classifying remote sensing imagery

Overview of attention for article published in CERNE, July 2014
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  • Average Attention Score compared to outputs of the same age

Mentioned by

twitter
1 X user

Citations

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4 Dimensions

Readers on

mendeley
6 Mendeley
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Title
Use of artificial neural networks and geographic objects for classifying remote sensing imagery
Published in
CERNE, July 2014
DOI 10.1590/01047760.201420021615
Authors

Pedro Resende Silva, Fausto Weimar Acerbi Júnior, Luis Marcelo Tavares de Carvalho, José Roberto Soares Scolforo

X Demographics

X Demographics

The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 6 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 6 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 2 33%
Student > Bachelor 1 17%
Student > Doctoral Student 1 17%
Researcher 1 17%
Unknown 1 17%
Readers by discipline Count As %
Engineering 2 33%
Chemistry 1 17%
Environmental Science 1 17%
Unknown 2 33%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. 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 20 August 2018.
All research outputs
#17,286,645
of 25,374,917 outputs
Outputs from CERNE
#13
of 22 outputs
Outputs of similar age
#142,814
of 239,660 outputs
Outputs of similar age from CERNE
#1
of 2 outputs
Altmetric has tracked 25,374,917 research outputs across all sources so far. This one is in the 21st percentile – i.e., 21% of other outputs scored the same or lower than it.
So far Altmetric has tracked 22 research outputs from this source. They receive a mean Attention Score of 2.7. This one scored the same or higher as 9 of them.
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 239,660 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 31st percentile – i.e., 31% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 2 others from the same source and published within six weeks on either side of this one. This one has scored higher than all of them