---
title: "jacn.org in the Machine Relations Index"
description: "jacn.org appeared as a cited source in 1 of 38,145 monitored answer runs (under 0.01%) from 2026-05-10 to 2026-11-10."
canonical: "https://machinerelations.ai/index/domains/jacn.org"
---

# jacn.org in the Machine Relations Index

jacn.org appeared as a cited source in 1 of 38,145 monitored answer runs (under 0.01%) from 2026-05-10 to 2026-11-10.

Canonical URL: https://machinerelations.ai/index/domains/jacn.org
Canonical domain: jacn.org
Source role: Other observed source
Release mri_score_v2.1+2026-11-10+32349d1896b9; methodology mri_score_v2.1; generated 2026-11-10; window 2026-05-10 to 2026-11-10; artifact 7cb48ba88004.

## Overall Evidence

- Citation rate: under 0.01%
- Cited runs: 1 of 38,145
- Days cited: 1 of 178
- Engine breadth: 1 observed engine (perplexity)
- Confidence: Collecting
- Standing: Collecting: no rank until it clears the evidence floor

## Observed Segments

| Category | Question shape | State | Cited runs | Observed runs | Run dates | Rate | Standing |
|---|---|---|---:|---:|---:|---:|---|
| [Consumer Health](https://machinerelations.ai/index/categories/consumer-health) | [How buyers choose](https://machinerelations.ai/index/categories/consumer-health/how_choose) | published | 1 | 302 | 13 | 0.33% | #363 of 504 |

## Citation Record

jacn.org has been cited in one monitored answer run, on September 28, 2026, by Perplexity, in answers to Consumer Health / How buyers choose questions. Other sources cited for Consumer Health questions: https://machinerelations.ai/index/categories/consumer-health

## Peers

jacn.org holds its best segment rank, #363 of 504, in Consumer Health / How buyers choose, at 0.33%. 248 sources on that leaderboard share that rate, and their order inside the tie is not a measured difference. Listed here: the nearest sources cited more and less often than it, and the sources beside it that share this best segment. Leaderboard: https://machinerelations.ai/index/categories/consumer-health/how_choose

| Rank | Source | Source role | Segment citation rate | Against this source |
|---|---|---|---:|---|
| #208 of 504 | [justthrivehealth.com](https://machinerelations.ai/index/domains/justthrivehealth.com) | Other observed source | 0.66% | +0.33 pts |
| #209 of 504 | [koshnutra.com](https://machinerelations.ai/index/domains/koshnutra.com) | Other observed source | 0.66% | +0.33 pts |
| #210 of 504 | [kyolic.com](https://machinerelations.ai/index/domains/kyolic.com) | Other observed source | 0.66% | +0.33 pts |
| #211 of 504 | [massivebio.com](https://machinerelations.ai/index/domains/massivebio.com) | Other observed source | 0.66% | +0.33 pts |
| #212 of 504 | [maxilinreview.com](https://machinerelations.ai/index/domains/maxilinreview.com) | Other observed source | 0.66% | +0.33 pts |
| #213 of 504 | [mayoclinic.org](https://machinerelations.ai/index/domains/mayoclinic.org) | Other observed source | 0.66% | +0.33 pts |
| #361 of 504 | [ironagenutrition.com](https://machinerelations.ai/index/domains/ironagenutrition.com) | Other observed source | 0.33% | Same rate |
| #364 of 504 | [journalofdairyscience.org](https://machinerelations.ai/index/domains/journalofdairyscience.org) | Academic and government source | 0.33% | Same rate |

## Citation

Machine Relations Index (MRI), Machine Relations Research — machinerelations.ai. jacn.org, under 0.01% citation rate, 1 of 38,145 monitored answer runs, 2026-05-10 to 2026-11-10. Release mri_score_v2.1+2026-11-10+32349d1896b9. CC BY 4.0. https://machinerelations.ai/index/domains/jacn.org

APA

Parrott, J. (2026). jacn.org in the Machine Relations Index (Version mri_score_v2.1+2026-11-10+32349d1896b9) [Data set]. Machine Relations Research. https://machinerelations.ai/index/domains/jacn.org https://doi.org/10.5281/zenodo.23652423

BibTeX

```bibtex
@misc{parrott2026mrijacnorg,
  author = {Parrott, Jaxon},
  title = {jacn.org in the Machine Relations Index},
  year = {2026},
  version = {mri\_score\_v2.1+2026-11-10+32349d1896b9},
  publisher = {Machine Relations Research},
  url = {https://machinerelations.ai/index/domains/jacn.org},
  doi = {10.5281/zenodo.23652423},
  license = {CC-BY-4.0},
  note = {Machine Relations Index (MRI), Machine Relations Research — machinerelations.ai}
}
```

DOI: https://doi.org/10.5281/zenodo.23652423

Citation file: https://machinerelations.ai/CITATION.cff

## Badge

Badge image: https://machinerelations.ai/index/domains/jacn.org/badge.svg

[![jacn.org in the Machine Relations Index: cited in under 0.01% of monitored AI answers (1 of 38,145 runs), Nov 10, 2026 release. Machine Relations Research.](https://machinerelations.ai/index/domains/jacn.org/badge.svg)](https://machinerelations.ai/index/domains/jacn.org)

Put this badge on your site to show how often AI answers cite it. It links to this profile and updates with every new release; if a later release no longer includes this domain, the badge stops loading. To keep today's numbers fixed, save the SVG and host it yourself.

## Use the data

The public JSON is https://machinerelations.ai/data/machine-relations-index.json. The release manifest is https://machinerelations.ai/data/mri-release-manifest.json. The domain CSV is https://huggingface.co/datasets/machine-relations/machine-relations-index/resolve/main/domains.csv. The Zenodo concept DOI is https://doi.org/10.5281/zenodo.23652423.

```bash
curl -fsSL "https://machinerelations.ai/data/machine-relations-index.json" -o machine-relations-index.json
curl -fsSL "https://machinerelations.ai/data/mri-release-manifest.json" -o mri-release-manifest.json
curl -fsSL "https://huggingface.co/datasets/machine-relations/machine-relations-index/resolve/main/domains.csv" -o domains.csv
curl -fsSL -L "https://doi.org/10.5281/zenodo.23652423" -o mri-zenodo.html
```

```python
import json
from urllib.request import urlopen

index_url = "https://machinerelations.ai/data/machine-relations-index.json"
with urlopen(index_url) as response:
    index = json.load(response)
print(index["generated"], index["total_domains"])
```

## Public Boundary

The public dataset reports citation rates, rankings, and evidence counts. It excludes internal query identifiers, raw cited URLs, and answer-engine provider payloads. MRI measures observed root-domain citations in monitored prompts; it does not measure all AI answers, recommendation quality, website traffic, or commercial performance. A citation does not prove source support, and MRI confidence is not an Answer-Source Fidelity grade.

## Related Sources

- [Machine Relations Index](https://machinerelations.ai/index)
- [Public JSON artifact](https://machinerelations.ai/data/machine-relations-index.json)
- [Release manifest](https://machinerelations.ai/data/mri-release-manifest.json)
