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Insertion loss

loss of signal transmission power when devices are connected to a transmission line
Thing general Q947396
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Insertion loss

Summary

Insertion loss ranks in the top 2% of general entities by monthly Wikipedia readership (11 views/month).[1]

Key Facts

  • Insertion loss's subclass of is recorded as energy dissipation[2].
  • Insertion loss's Freebase ID is recorded as /m/0b9z8[3].
  • Insertion loss's Microsoft Academic ID is recorded as 90327742[4].
  • Insertion loss's MetaSat ID is recorded as insertionLoss[5].
  • Insertion loss's OpenAlex ID is recorded as C90327742[6].

Why It Matters

Insertion loss ranks in the top 2% of general entities by monthly Wikipedia readership (11 views/month).[1] It has Wikipedia articles in 11 language editions, a strong signal of global cultural recognition.[7] It is known by 3 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] ↑ . Freebase Data Dumps. wikidata.org.
  3. [4] ↑ . 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). Insertion loss. Retrieved April 10, 2026, from https://4ort.xyz/entity/insertion-loss
MLA “Insertion loss.” 4ort.xyz Knowledge Graph, 4ort.xyz, 10 Apr. 2026, https://4ort.xyz/entity/insertion-loss.
BibTeX @misc{4ortxyz_insertion-loss_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Insertion loss}}, year = {2026}, url = {https://4ort.xyz/entity/insertion-loss}, note = {Accessed: 2026-04-10}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Insertion loss — https://4ort.xyz/entity/insertion-loss (retrieved 2026-04-10)

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