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構造ベース創農薬による硝化抑制剤の開発~農薬開発に必要なイノベーション~

Overview of attention for article published in Japanese Journal of Pesticide Science, August 2019
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Mentioned by

twitter
2 X users

Citations

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1 Dimensions

Readers on

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4 Mendeley
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Title
構造ベース創農薬による硝化抑制剤の開発~農薬開発に必要なイノベーション~
Published in
Japanese Journal of Pesticide Science, August 2019
DOI 10.1584/jpestics.w19-20
Authors

西ヶ谷 有輝, 土屋 渉, 藤本 瑞, 鈴木 倫太郎, 山崎 俊正

X Demographics

X Demographics

The data shown below were collected from the profiles of 2 X users who shared this research output. Click here to find out more about how the information was compiled.
As of 1 July 2024, you may notice a temporary increase in the numbers of X profiles with Unknown location. Click here to learn more.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 4 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 4 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 2 50%
Unknown 2 50%
Readers by discipline Count As %
Agricultural and Biological Sciences 1 25%
Engineering 1 25%
Unknown 2 50%
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 24 June 2020.
All research outputs
#20,881,369
of 26,526,880 outputs
Outputs from Japanese Journal of Pesticide Science
#23
of 32 outputs
Outputs of similar age
#257,034
of 355,509 outputs
Outputs of similar age from Japanese Journal of Pesticide Science
#1
of 1 outputs
Altmetric has tracked 26,526,880 research outputs across all sources so far. This one is in the 18th percentile – i.e., 18% of other outputs scored the same or lower than it.
So far Altmetric has tracked 32 research outputs from this source. They receive a mean Attention Score of 1.6. This one scored the same or higher as 9 of them.
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 355,509 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 23rd percentile – i.e., 23% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 1 others from the same source and published within six weeks on either side of this one. This one has scored higher than all of them