Evidence map›Paper›PMID 38544657›Full record

ArticleCureus2024

Acupuncture Topics on Twitter (Currently X) in English and Japanese: Co-occurrence Network Analysis.

Takumi Kayo, Kazushi Uneda, Masao Suzuki

Abstract read
In one paragraph

Article in Cureus, 2024. 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

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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

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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. Article
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

3 authors.

Takumi KayoDepartment of Kampo Medicine, Aizu Medical Center, Fukushima Medical University, Aizuwakamatsu, JPN.
Kazushi UnedaDepartment of Kampo Medicine, Aizu Medical Center, Fukushima Medical University, Aizuwakamatsu, JPN.
Masao SuzukiDepartment of Kampo Medicine, Aizu Medical Center, Fukushima Medical University, Aizuwakamatsu, JPN.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background With the growth of social media, there has been an increase in health-related studies utilizing data obtained from such sites and applications. Although acupuncture is used as a complementary alternative medicine worldwide, there is little research on acupuncture utilizing social media data. This study investigates the topics related to acupuncture on Twitter, currently known as X, in English and Japanese. Methods We collected tweets containing the English word "acupuncture" and its Japanese equivalent using Twitter's application programming interface from January 1, 2022 to December 31, 2022. After extracting the top 50 frequently occurring words from the collected tweet texts separately for each language, we conducted a co-occurrence network analysis for those words, in order to evaluate the patterns of their occurrence. Results A total of 70,435 English tweets from 41,939 users and 188,671 Japanese tweets from 81,093 users were analyzed after excluding retweets and duplicate tweets. The co-occurrence network analysis revealed that topics related to pain, other complementary and alternative medicines, and acupuncture-related experiences were common in both languages. However, explanatory topics such as needle use, Chinese medicine, and body points were specific to English tweets, while those about beauty care were specific to Japanese tweets. Conclusion The number of tweets regarding acupuncture and the number of users who posted them were both higher in Japanese than in English. Some acupuncture topics were common in both languages, while other topics were specific to each language. The findings of this study provide valuable insights into understanding information about acupuncture on social media.

Indexed as

acupunctureco-occurrence networkenglishjapanesetwitter (currently x)

Identifiers

PMID38544657
PMCPMC10966937

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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.