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Integration of Remote Sensing and Field Observations in Evaluating DSSAT Model for Estimating Maize and Soybean Growth and Yield in Maryland, USA

Overview of attention for article published in Agronomy, June 2023
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Mentioned by

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1 X user

Citations

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2 Dimensions

Readers on

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14 Mendeley
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Title
Integration of Remote Sensing and Field Observations in Evaluating DSSAT Model for Estimating Maize and Soybean Growth and Yield in Maryland, USA
Published in
Agronomy, June 2023
DOI 10.3390/agronomy13061540
Authors

Uvirkaa Akumaga, Feng Gao, Martha Anderson, Wayne P. Dulaney, Rasmus Houborg, Andrew Russ, W. Dean Hively

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 14 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 14 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 2 14%
Researcher 2 14%
Professor > Associate Professor 1 7%
Unspecified 1 7%
Unknown 8 57%
Readers by discipline Count As %
Engineering 2 14%
Computer Science 2 14%
Unspecified 1 7%
Unknown 9 64%
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 13 June 2023.
All research outputs
#19,382,126
of 23,854,458 outputs
Outputs from Agronomy
#2,742
of 4,235 outputs
Outputs of similar age
#161,999
of 227,552 outputs
Outputs of similar age from Agronomy
#34
of 51 outputs
Altmetric has tracked 23,854,458 research outputs across all sources so far. This one is in the 10th percentile – i.e., 10% of other outputs scored the same or lower than it.
So far Altmetric has tracked 4,235 research outputs from this source. They receive a mean Attention Score of 3.5. This one is in the 19th percentile – i.e., 19% 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 227,552 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 17th percentile – i.e., 17% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 51 others from the same source and published within six weeks on either side of this one. This one is in the 19th percentile – i.e., 19% of its contemporaries scored the same or lower than it.