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Attention Score in Context
Title |
An improved canopy interception scheme into biogeochemical model for precise simulation of carbon and water fluxes in subtropical coniferous forest
|
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Published in |
Agricultural & Forest Meteorology, August 2024
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DOI | 10.1016/j.agrformet.2024.110117 |
Authors |
Fen Zhao, Jiao Wang, Hua Shang, Lang Xia, Qingzhu Gao |
Attention Score in Context
This research output has an Altmetric Attention Score of 9. 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 July 2024.
All research outputs
#4,309,011
of 26,447,081 outputs
Outputs from Agricultural & Forest Meteorology
#567
of 2,378 outputs
Outputs of similar age
#22,957
of 164,462 outputs
Outputs of similar age from Agricultural & Forest Meteorology
#6
of 26 outputs
Altmetric has tracked 26,447,081 research outputs across all sources so far. Compared to these this one has done well and is in the 83rd percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 2,378 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 8.0. This one has gotten more attention than average, scoring higher than 66% 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 164,462 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 85% of its contemporaries.
We're also able to compare this research output to 26 others from the same source and published within six weeks on either side of this one. This one is in the 42nd percentile – i.e., 42% of its contemporaries scored the same or lower than it.