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Precipitation Partitioning by Vegetation

Overview of attention for book
Cover of 'Precipitation Partitioning by Vegetation'

Table of Contents

  1. Altmetric Badge
    Book Overview
  2. Altmetric Badge
    Chapter 1 Precipitation Partitioning, or to the Surface and Back Again: Historical Overview of the First Process in the Terrestrial Hydrologic Pathway
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    Chapter 2 Storage and Routing of Precipitation Through Canopies
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    Chapter 3 Evaporative Processes on Vegetation: An Inside Look
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    Chapter 4 A Global Synthesis of Throughfall and Stemflow Hydrometeorology
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    Chapter 5 Things Seen and Unseen in Throughfall and Stemflow
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    Chapter 6 Spatial Variability and Temporal Stability of Local Net Precipitation Patterns
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    Chapter 7 Global Modeling of Precipitation Partitioning by Vegetation and Their Applications
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    Chapter 8 Throughfall and Stemflow: The Crowning Headwaters of the Aquatic Carbon Cycle
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    Chapter 9 Interactions of Epiphytes with Precipitation Partitioning
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    Chapter 10 Relevance of Precipitation Partitioning to the Tree Water and Nutrient Balance
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    Chapter 11 Role of Precipitation Partitioning in Litter Biogeochemistry
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    Chapter 12 A Review of the Effects of Throughfall and Stemflow on Soil Properties and Soil Erosion
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    Chapter 13 Flow Pathways of Throughfall and Stemflow Through the Subsurface
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    Chapter 14 Precipitation Partitioning—Hydrologic Highways Between Microbial Communities of the Plant Microbiome?
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    Chapter 15 Valuing Urban Tree Impacts on Precipitation Partitioning
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    Chapter 16 Key Questions on the Evaporation and Transport of Intercepted Precipitation
Attention for Chapter 15: Valuing Urban Tree Impacts on Precipitation Partitioning
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About this Attention Score

  • Above-average Attention Score compared to outputs of the same age (64th percentile)
  • Good Attention Score compared to outputs of the same age and source (68th percentile)

Mentioned by

twitter
5 tweeters

Citations

dimensions_citation
14 Dimensions

Readers on

mendeley
8 Mendeley
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Chapter title
Valuing Urban Tree Impacts on Precipitation Partitioning
Chapter number 15
Book title
Precipitation Partitioning by Vegetation
Published by
Springer, Cham, January 2020
DOI 10.1007/978-3-030-29702-2_15
Book ISBNs
978-3-03-029701-5, 978-3-03-029702-2
Authors

David J. Nowak, Robert Coville, Theodore Endreny, Reza Abdi, John T. Van Stan II, Nowak, David .J., Coville, Robert, Endreny, Theodore, Abdi, Reza, Stan, John Van

Twitter Demographics

The data shown below were collected from the profiles of 5 tweeters who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 8 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 8 100%

Demographic breakdown

Readers by professional status Count As %
Other 1 13%
Student > Doctoral Student 1 13%
Student > Bachelor 1 13%
Student > Ph. D. Student 1 13%
Student > Master 1 13%
Other 1 13%
Unknown 2 25%
Readers by discipline Count As %
Agricultural and Biological Sciences 3 38%
Environmental Science 1 13%
Economics, Econometrics and Finance 1 13%
Unknown 3 38%

Attention Score in Context

This research output has an Altmetric Attention Score of 4. 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 04 February 2020.
All research outputs
#4,877,062
of 16,760,518 outputs
Outputs from this source
#270
of 934 outputs
Outputs of similar age
#135,325
of 386,832 outputs
Outputs of similar age from this source
#22
of 70 outputs
Altmetric has tracked 16,760,518 research outputs across all sources so far. This one has received more attention than most of these and is in the 70th percentile.
So far Altmetric has tracked 934 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.8. This one has gotten more attention than average, scoring higher than 70% 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 386,832 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 70 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 68% of its contemporaries.