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物質ストックを考慮した資源生産性の要因分解の実証研究 ―住宅におけるケーススタディ―

Overview of attention for article published in Journal of Japan Society of Civil Engineers, Ser. G (Environmental Research), February 2022
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Title
物質ストックを考慮した資源生産性の要因分解の実証研究 ―住宅におけるケーススタディ―
Published in
Journal of Japan Society of Civil Engineers, Ser. G (Environmental Research), February 2022
DOI 10.2208/jscejer.77.6_ii_23
Authors

Naho YAMASHITA, Jing GUO, Hiroaki SHIRAKAWA, Hiroki TANIKAWA

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 1 Mendeley reader of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 1 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 1 100%
Readers by discipline Count As %
Environmental Science 1 100%
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 18 May 2023.
All research outputs
#21,049,824
of 25,852,155 outputs
Outputs from Journal of Japan Society of Civil Engineers, Ser. G (Environmental Research)
#47
of 54 outputs
Outputs of similar age
#399,688
of 529,725 outputs
Outputs of similar age from Journal of Japan Society of Civil Engineers, Ser. G (Environmental Research)
#6
of 6 outputs
Altmetric has tracked 25,852,155 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 54 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.8. This one is in the 1st percentile – i.e., 1% 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 529,725 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 14th percentile – i.e., 14% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 6 others from the same source and published within six weeks on either side of this one.