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Attention Score in Context
Title |
EMG-Based Detection of Minimum Effective Load With Robotic-Resistance Leg Extensor Training
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Published in |
IEEE Transactions on Human-Machine Systems, January 2024
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DOI | 10.1109/thms.2023.3347404 |
Authors |
Tamon Miyake, Hiromasa Ito, Naomi Okamura, Yo Kobayashi, Masakatsu G. Fujie, Shigeki Sugano |
X Demographics
Geographical breakdown
Country | Count | As % |
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Japan | 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 28 January 2024.
All research outputs
#17,302,400
of 25,394,764 outputs
Outputs from IEEE Transactions on Human-Machine Systems
#389
of 473 outputs
Outputs of similar age
#163,313
of 314,600 outputs
Outputs of similar age from IEEE Transactions on Human-Machine Systems
#1
of 1 outputs
Altmetric has tracked 25,394,764 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 473 research outputs from this source. They receive a mean Attention Score of 3.9. This one is in the 7th percentile – i.e., 7% 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 314,600 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 35th percentile – i.e., 35% 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