↓ Skip to main content

An Automated Cropland Classification Algorithm (ACCA) for Tajikistan by Combining Landsat, MODIS, and Secondary Data

Overview of attention for article published in Remote Sensing, September 2012
Altmetric Badge

About this Attention Score

  • Good Attention Score compared to outputs of the same age (73rd percentile)
  • High Attention Score compared to outputs of the same age and source (87th percentile)

Mentioned by

policy
1 policy source
twitter
2 X users

Citations

dimensions_citation
68 Dimensions

Readers on

mendeley
149 Mendeley
You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output. Click here to find out more.
Title
An Automated Cropland Classification Algorithm (ACCA) for Tajikistan by Combining Landsat, MODIS, and Secondary Data
Published in
Remote Sensing, September 2012
DOI 10.3390/rs4102890
Authors

Prasad S. Thenkabail, Zhuoting Wu

X Demographics

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.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 149 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Colombia 1 <1%
Germany 1 <1%
Kenya 1 <1%
Brazil 1 <1%
Canada 1 <1%
Unknown 144 97%

Demographic breakdown

Readers by professional status Count As %
Researcher 34 23%
Student > Ph. D. Student 23 15%
Student > Master 19 13%
Student > Postgraduate 14 9%
Lecturer 9 6%
Other 24 16%
Unknown 26 17%
Readers by discipline Count As %
Earth and Planetary Sciences 39 26%
Environmental Science 31 21%
Agricultural and Biological Sciences 16 11%
Engineering 15 10%
Computer Science 7 5%
Other 9 6%
Unknown 32 21%
Attention Score in Context

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 01 July 2020.
All research outputs
#6,111,780
of 22,679,690 outputs
Outputs from Remote Sensing
#2,282
of 11,179 outputs
Outputs of similar age
#44,225
of 171,685 outputs
Outputs of similar age from Remote Sensing
#5
of 41 outputs
Altmetric has tracked 22,679,690 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 11,179 research outputs from this source. They receive a mean Attention Score of 4.3. This one has done well, scoring higher than 79% 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 171,685 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 73% of its contemporaries.
We're also able to compare this research output to 41 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.