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Attention Score in Context
Title |
医薬品添加物の分析により睡眠薬の製薬会社を特定する手法の開発
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Published in |
Japanese Journal of Forensic Science and Technology, July 2022
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DOI | 10.3408/jafst.823 |
Authors |
鈴木 信明, 奥山 修司, 岩井 悠樹, 佐藤 元泰 |
X Demographics
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 1 | 100% |
Demographic breakdown
Type | Count | As % |
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Members of the public | 1 | 100% |
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 23 July 2022.
All research outputs
#17,637,892
of 25,852,155 outputs
Outputs from Japanese Journal of Forensic Science and Technology
#34
of 53 outputs
Outputs of similar age
#254,792
of 433,839 outputs
Outputs of similar age from Japanese Journal of Forensic Science and Technology
#2
of 2 outputs
Altmetric has tracked 25,852,155 research outputs across all sources so far. This one is in the 21st percentile – i.e., 21% of other outputs scored the same or lower than it.
So far Altmetric has tracked 53 research outputs from this source. They receive a mean Attention Score of 4.5. This one is in the 3rd percentile – i.e., 3% 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 433,839 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 29th percentile – i.e., 29% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 2 others from the same source and published within six weeks on either side of this one.