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状態空間モデルを用いた階層ベイズ推定法によるキョン(Muntiacus reevesi)の個体数推定

Overview of attention for article published in Honyurui Kagaku (Mammalian Science), June 2014
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Mentioned by

twitter
4 X users

Readers on

mendeley
18 Mendeley
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Title
状態空間モデルを用いた階層ベイズ推定法によるキョン(Muntiacus reevesi)の個体数推定
Published in
Honyurui Kagaku (Mammalian Science), June 2014
DOI 10.11238/mammalianscience.54.53
Authors

浅田 正彦, 長田 穣, 深澤 圭太, 落合 啓二

X Demographics

X Demographics

The data shown below were collected from the profiles of 4 X users 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 18 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 18 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 1 6%
Unknown 17 94%
Readers by discipline Count As %
Agricultural and Biological Sciences 1 6%
Unknown 17 94%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 3. 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 25 December 2014.
All research outputs
#14,843,854
of 25,462,162 outputs
Outputs from Honyurui Kagaku (Mammalian Science)
#199
of 329 outputs
Outputs of similar age
#118,527
of 241,060 outputs
Outputs of similar age from Honyurui Kagaku (Mammalian Science)
#4
of 6 outputs
Altmetric has tracked 25,462,162 research outputs across all sources so far. This one is in the 41st percentile – i.e., 41% of other outputs scored the same or lower than it.
So far Altmetric has tracked 329 research outputs from this source. They receive a mean Attention Score of 3.8. This one is in the 38th percentile – i.e., 38% 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 241,060 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 50% of its contemporaries.
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. This one has scored higher than 2 of them.