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long-term experiment

experimental study on the empirical extraction of information over a long period
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long-term experiment

Summary

long-term experiment ranks in the top 2% of general entities by monthly Wikipedia readership (64 views/month).[1]

Key Facts

  • long-term experiment's subclass of is recorded as experiment[2].
  • long-term experiment's Freebase ID is recorded as /m/09__p4[3].
  • long-term experiment's BabelNet ID is recorded as 03093645n[4].
  • long-term experiment's Microsoft Academic ID is recorded as 2777191329[5].
  • long-term experiment's OpenAlex ID is recorded as C2777191329[6].

Why It Matters

long-term experiment ranks in the top 2% of general entities by monthly Wikipedia readership (64 views/month).[1] It has Wikipedia articles in 5 language editions, a strong signal of global cultural recognition.[7] It is known by 5 alternative names across languages and contexts.[8]

References

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

Direct Wikidata claims

  1. [2] ↑ . wikidata.org.
  2. [3] ↑ . wikidata.org.
  3. [4] ↑ . BabelNet. wikidata.org.
  4. [5] ↑ . wikidata.org.
  5. [6] ↑ . OpenAlex. Retrieved . docs.openalex.org. Provenance: wikidata.org.

Aggregate / graph-position facts

  1. [1] ↑ . Wikimedia Foundation. dumps.wikimedia.org.
  2. [7] ↑ . Wikidata sitelinks. wikidata.org.
  3. [8] ↑ . Wikidata aliases. wikidata.org.

📑 Cite this page

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). long-term experiment. Retrieved April 11, 2026, from https://4ort.xyz/entity/long-term-experiment
MLA “long-term experiment.” 4ort.xyz Knowledge Graph, 4ort.xyz, 11 Apr. 2026, https://4ort.xyz/entity/long-term-experiment.
BibTeX @misc{4ortxyz_long-term-experiment_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{long-term experiment}}, year = {2026}, url = {https://4ort.xyz/entity/long-term-experiment}, note = {Accessed: 2026-04-11}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): long-term experiment — https://4ort.xyz/entity/long-term-experiment (retrieved 2026-04-11)

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