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機械学習を用いた臨床ビッグデータに基づく人工関節置換膝動態予測

Overview of attention for article published in Transactions of Japanese Society for Medical and Biological Engineering, November 2016
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Title
機械学習を用いた臨床ビッグデータに基づく人工関節置換膝動態予測
Published in
Transactions of Japanese Society for Medical and Biological Engineering, November 2016
DOI 10.11239/jsmbe.54annual.s123
Authors

小橋 昌司, 諸岡 孝俊, 奥野 真起子, 森本 雅和, 吉矢 晋一, 相河 聡

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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 28 November 2016.
All research outputs
#17,637,892
of 25,852,155 outputs
Outputs from Transactions of Japanese Society for Medical and Biological Engineering
#101
of 170 outputs
Outputs of similar age
#262,767
of 418,298 outputs
Outputs of similar age from Transactions of Japanese Society for Medical and Biological Engineering
#5
of 7 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 170 research outputs from this source. They receive a mean Attention Score of 2.3. This one is in the 21st percentile – i.e., 21% 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 418,298 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 28th percentile – i.e., 28% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 7 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.