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Transfer learning approach based on satellite image time series for the crop classification problem

Overview of attention for article published in Journal of Big Data, April 2023
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About this Attention Score

  • Above-average Attention Score compared to outputs of the same age (64th percentile)
  • High Attention Score compared to outputs of the same age and source (99th percentile)

Mentioned by

twitter
3 X users

Citations

dimensions_citation
5 Dimensions

Readers on

mendeley
22 Mendeley
Title
Transfer learning approach based on satellite image time series for the crop classification problem
Published in
Journal of Big Data, April 2023
DOI 10.1186/s40537-023-00735-2
Authors

Ognjen Antonijević, Slobodan Jelić, Branislav Bajat, Milan Kilibarda

X Demographics

X Demographics

The data shown below were collected from the profiles of 3 X users 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 22 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 22 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 3 14%
Student > Ph. D. Student 2 9%
Librarian 1 5%
Lecturer 1 5%
Unspecified 1 5%
Other 0 0%
Unknown 14 64%
Readers by discipline Count As %
Agricultural and Biological Sciences 2 9%
Computer Science 2 9%
Engineering 2 9%
Earth and Planetary Sciences 2 9%
Unspecified 1 5%
Other 0 0%
Unknown 13 59%
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 12 May 2023.
All research outputs
#13,184,138
of 23,743,910 outputs
Outputs from Journal of Big Data
#149
of 359 outputs
Outputs of similar age
#89,275
of 258,586 outputs
Outputs of similar age from Journal of Big Data
#1
of 5 outputs
Altmetric has tracked 23,743,910 research outputs across all sources so far. This one is in the 44th percentile – i.e., 44% of other outputs scored the same or lower than it.
So far Altmetric has tracked 359 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 11.5. This one has gotten more attention than average, scoring higher than 57% 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 258,586 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 64% of its contemporaries.
We're also able to compare this research output to 5 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