Evidence map›Paper›PMID 40841411›Full record

ArticleScientific reports2025

Author Correction: High-sensitivity acceleration sensor detecting micro-mechanomyogram and deep learning approach for parkinson's disease classification.

Jingyu Quan, Hirotaka Uchitomi, Ryo Shigeyama, Chenguang Gao, Taiki Ogata, Akira Inaba, Satoshi Orimo, Hiroyuki Ito, Katsuyuki Machida, Masato Sone and 1 more

Abstract readPublished Erratum
PubMed Full text at PMC Publisher
In one paragraph

Article in Scientific reports, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

11 authors.

Jingyu QuanDepartment of Computer Science, Tokyo Institute of Technology, Tokyo, 226-8502, Japan.
Hirotaka UchitomiDepartment of Computer Science, Tokyo Institute of Technology, Tokyo, 226-8502, Japan. uchitomi@c.titech.ac.jp.
Ryo ShigeyamaDepartment of Computer Science, Tokyo Institute of Technology, Tokyo, 226-8502, Japan.
Chenguang GaoDepartment of Computer Science, Tokyo Institute of Technology, Tokyo, 226-8502, Japan.
Taiki OgataDepartment of Computer Science, Tokyo Institute of Technology, Tokyo, 226-8502, Japan.
Akira InabaDepartment of Neurology, Kanto Central Hospital, Tokyo, 158-8531, Japan.
Satoshi OrimoDepartment of Neurology, Kanto Central Hospital, Tokyo, 158-8531, Japan.
Hiroyuki ItoInstitute of Innovative Research, Tokyo Institute of Technology, Yokohama, 226-8501, Japan.
Katsuyuki MachidaInstitute of Innovative Research, Tokyo Institute of Technology, Yokohama, 226-8501, Japan.
Masato SoneInstitute of Innovative Research, Tokyo Institute of Technology, Yokohama, 226-8501, Japan.
Yoshihiro MiyakeDepartment of Computer Science, Tokyo Institute of Technology, Tokyo, 226-8502, Japan.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

PubMed holds no abstract for this paper.

Identifiers

PMID40841411
PMCPMC12371039

What OpenQuestion holds

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LicenceCC BY-NC-ND
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.