Evidence map›Paper›PMID 32175517›Full record

ArticleACS omega2020

Cost-Effective Yarn-Shaped Lithium-Ion Battery with High Wearability.

Xiangyu Qian, Ruoyu Qiu, Chunhong Lu, Yiping Qiu, Zhuangchun Wu, Shiren Wang, Kun Zhang

Abstract read
In one paragraph

Article in ACS omega, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Toward Real-Life Applications of Fiber Lithium-Ion Batteries.Small (Weinheim an der Bergstrasse, Germany) · 2026
    Review
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

7 authors.

Xiangyu QianCollege of Textiles, Donghua University, Shanghai 201620, China.
Ruoyu QiuCollege of Science, Donghua University, Shanghai 201620, China.
Chunhong LuCollege of Textiles, Donghua University, Shanghai 201620, China.
Yiping QiuCollege of Textiles, Donghua University, Shanghai 201620, China.
Zhuangchun WuInstitute of Functional Materials, Donghua University, Shanghai 201620, China.
Shiren WangDepartment of Industrial and Systems Engineering, Texas A&M University, College Station, Texas 77843, United States.
Kun ZhangCollege of Textiles, Donghua University, Shanghai 201620, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Because of flexibility, compactness, weavability, and ergonomic design, yarn-shaped lithium-ion batteries (LIBs) have enormous potential applications in wearable electronics. Still, the yarn-shaped LIB with the ability to meet commercialization requirements has never been reported, owing to the current challenge in complex material synthesis technologies, expensive raw material costs, poor safety performance, and nonstandard manufacturing equipment. Herein, we propose a yarn-shaped LIB that meets the aforementioned requirements. With a highly conductive and flexible stainless-steel yarn acting as the current collector, the electrode active materials and the gel electrolyte, which are commercially available at low cost, are uniformly coated onto the stainless-steel yarn by a simple and facile dipping-drying method. Even at different deformation conditions (i.e., bending or knotting), the specific capacity of the yarn-shaped LIB (7 cm long, <2 mm in diameter) assembled from graphite and lithium iron phosphate electrodes is maintained >85%. After charged treatment, it can successfully power up an electronic watch and an electronic thermo-hygrometer. Thanks to the simple preparation process, low cost of raw materials, and good safety performance, this work can promote the commercialization of wearable energy storage devices.

Identifiers

PMID32175517
PMCPMC7066648

What OpenQuestion holds

Textmetadata
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.