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Attention Score in Context
Title |
Extracting typing game keystroke patterns as potential indicators of programming aptitude
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Published in |
Frontiers in Computer Science, July 2024
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DOI | 10.3389/fcomp.2024.1412458 |
Authors |
Toyohisa Nakada, Motoki Miura |
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 22 July 2024.
All research outputs
#23,817,557
of 26,510,312 outputs
Outputs from Frontiers in Computer Science
#565
of 590 outputs
Outputs of similar age
#177,247
of 226,895 outputs
Outputs of similar age from Frontiers in Computer Science
#10
of 14 outputs
Altmetric has tracked 26,510,312 research outputs across all sources so far. This one is in the 1st percentile – i.e., 1% of other outputs scored the same or lower than it.
So far Altmetric has tracked 590 research outputs from this source. They receive a mean Attention Score of 4.5. This one is in the 1st percentile – i.e., 1% 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 226,895 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 14 others from the same source and published within six weeks on either side of this one. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.