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An improved model to simulate soil water and heat: A case study for drip-irrigated tomato grown in a greenhouse

Overview of attention for article published in Agricultural Water Management, March 2023
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • Good Attention Score compared to outputs of the same age (79th percentile)
  • High Attention Score compared to outputs of the same age and source (86th percentile)

Mentioned by

news
1 news outlet

Readers on

mendeley
13 Mendeley
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Title
An improved model to simulate soil water and heat: A case study for drip-irrigated tomato grown in a greenhouse
Published in
Agricultural Water Management, March 2023
DOI 10.1016/j.agwat.2022.108121
Authors

Xuewen Gong, Xiaoming Li, Yu Li, Guokui Bo, Rangjian Qiu, Zongdong Huang, Shikai Gao, Shunsheng Wang

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 13 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 13 100%

Demographic breakdown

Readers by professional status Count As %
Unspecified 1 8%
Other 1 8%
Student > Doctoral Student 1 8%
Student > Ph. D. Student 1 8%
Researcher 1 8%
Other 1 8%
Unknown 7 54%
Readers by discipline Count As %
Agricultural and Biological Sciences 5 38%
Environmental Science 1 8%
Unspecified 1 8%
Unknown 6 46%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 8. 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 22 February 2023.
All research outputs
#4,513,532
of 25,394,764 outputs
Outputs from Agricultural Water Management
#168
of 1,651 outputs
Outputs of similar age
#80,471
of 422,430 outputs
Outputs of similar age from Agricultural Water Management
#4
of 38 outputs
Altmetric has tracked 25,394,764 research outputs across all sources so far. Compared to these this one has done well and is in the 82nd percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,651 research outputs from this source. They receive a mean Attention Score of 4.4. This one has done well, scoring higher than 88% 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 422,430 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 79% of its contemporaries.
We're also able to compare this research output to 38 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 86% of its contemporaries.