---
title: "medicalofficeforce.com in the Machine Relations Index"
description: "Canonical domain: medicalofficeforce.com"
canonical: "https://machinerelations.ai/index/domains/medicalofficeforce.com"
---

# medicalofficeforce.com in the Machine Relations Index

Canonical URL: https://machinerelations.ai/index/domains/medicalofficeforce.com
Canonical domain: medicalofficeforce.com
Source role: Other observed source
Release mri_score_v2.1+2026-11-08+0f28d6fa6d4f; methodology mri_score_v2.1; generated 2026-11-08; window 2026-05-10 to 2026-11-08; artifact 4053956b43bb.

medicalofficeforce.com appeared as a cited source in 1 of 37,536 monitored answer runs (under 0.01%) from 2026-05-10 to 2026-11-08.

## Overall Evidence

- Citation rate: under 0.01%
- Cited runs: 1 of 37,536
- Days cited: 1 of 176
- Engine breadth: 1 observed engine (claude)
- 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 |
|---|---|---|---:|---:|---:|---:|---|
| [Healthcare Services](https://machinerelations.ai/index/categories/healthcare-services) | [Comparisons](https://machinerelations.ai/index/categories/healthcare-services/x_vs_y) | published | 1 | 231 | 12 | 0.43% | #294 of 363 |

## Citation Record

medicalofficeforce.com has been cited in one monitored answer run, on November 1, 2026, by Claude, in answers to Healthcare Services / Comparisons questions. Other sources cited for Healthcare Services questions: https://machinerelations.ai/index/categories/healthcare-services

## Peers

medicalofficeforce.com holds its best segment rank, #294 of 363, in Healthcare Services / Comparisons, at 0.43%. 165 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/healthcare-services/x_vs_y

| Rank | Source | Source role | Segment citation rate | Against this source |
|---|---|---|---:|---|
| #169 of 363 | [legal500.com](https://machinerelations.ai/index/domains/legal500.com) | Other observed source | 0.87% | +0.44 pts |
| #170 of 363 | [lifescapepremier.com](https://machinerelations.ai/index/domains/lifescapepremier.com) | Other observed source | 0.87% | +0.44 pts |
| #171 of 363 | [localmd.nyc](https://machinerelations.ai/index/domains/localmd.nyc) | Other observed source | 0.87% | +0.44 pts |
| #172 of 363 | [medicare.gov](https://machinerelations.ai/index/domains/medicare.gov) | Academic and government source | 0.87% | +0.44 pts |
| #173 of 363 | [momentarylab.com](https://machinerelations.ai/index/domains/momentarylab.com) | Other observed source | 0.87% | +0.44 pts |
| #174 of 363 | [mydoctorsf.com](https://machinerelations.ai/index/domains/mydoctorsf.com) | Other observed source | 0.87% | +0.44 pts |
| #293 of 363 | [medicalhousecalls.com](https://machinerelations.ai/index/domains/medicalhousecalls.com) | Other observed source | 0.43% | Same rate |
| #295 of 363 | [medicodio.ai](https://machinerelations.ai/index/domains/medicodio.ai) | Other observed source | 0.43% | Same rate |

## Citation

Machine Relations Index (MRI), Machine Relations Research — machinerelations.ai. medicalofficeforce.com, under 0.01% citation rate, 1 of 37,536 monitored answer runs, 2026-05-10 to 2026-11-08. Release mri_score_v2.1+2026-11-08+0f28d6fa6d4f. https://machinerelations.ai/index/domains/medicalofficeforce.com. CC BY 4.0.

APA

Parrott, J. (2026). medicalofficeforce.com in the Machine Relations Index (Version mri_score_v2.1+2026-11-08+0f28d6fa6d4f) [Data set]. Machine Relations Research. https://machinerelations.ai/index/domains/medicalofficeforce.com https://doi.org/10.5281/zenodo.23652423

BibTeX

```bibtex
@misc{parrott2026mrimedicalofficeforcecom,
  author = {Parrott, Jaxon},
  title = {medicalofficeforce.com in the Machine Relations Index},
  year = {2026},
  version = {mri\_score\_v2.1+2026-11-08+0f28d6fa6d4f},
  publisher = {Machine Relations Research},
  url = {https://machinerelations.ai/index/domains/medicalofficeforce.com},
  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/medicalofficeforce.com/badge.svg

[![medicalofficeforce.com in the Machine Relations Index: cited in under 0.01% of monitored AI answers (1 of 37,536 runs), Nov 8, 2026 release. Machine Relations Research.](https://machinerelations.ai/index/domains/medicalofficeforce.com/badge.svg)](https://machinerelations.ai/index/domains/medicalofficeforce.com)

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)