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Characterizing Sleep Issues Using Twitter

Research article (Journal of Medical Internet Research, 2015) · cited 89× · AI/ML
academia openalex:W1596538443
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Characterizing Sleep Issues Using Twitter

Summary

Characterizing Sleep Issues Using Twitter is a scholarly article[1].

Key Facts

  • Characterizing Sleep Issues Using Twitter's instance of is recorded as scholarly article[2].

References

Programmatic citations — every numbered marker resolves to a verifiable graph row below.

Direct Wikidata claims

  1. [2] ↑ . wikidata.org.

Class ancestry

  1. [1] ↑ . Wikidata. wikidata.org.

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Use these citations when quoting this entity in research, articles, AI prompts, or wherever provenance matters. We aggregate Wikidata + Wikipedia + authoritative open-data sources; the stitched, scored, cross-referenced view is what 4ort.xyz contributes.

APA 4ort.xyz Knowledge Graph. (2026). Characterizing Sleep Issues Using Twitter. Retrieved May 24, 2026, from https://4ort.xyz/entity/characterizing-sleep-issues-using-twitter
MLA “Characterizing Sleep Issues Using Twitter.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/characterizing-sleep-issues-using-twitter.
BibTeX @misc{4ortxyz_characterizing-sleep-issues-using-twitter_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Characterizing Sleep Issues Using Twitter}}, year = {2026}, url = {https://4ort.xyz/entity/characterizing-sleep-issues-using-twitter}, note = {Accessed: 2026-05-24}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Characterizing Sleep Issues Using Twitter — https://4ort.xyz/entity/characterizing-sleep-issues-using-twitter (retrieved 2026-05-24)

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