---
title: "c6mvs: papers citing this dataset"
description: "3 papers in the tracked journals link to the OSF dataset c6mvs in their Crossref records, the first in 2020; most of them (1) in 2022."
url: https://scholar4ai.com/code/osf-c6mvs
markdown_url: https://scholar4ai.com/code/osf-c6mvs.md
license: CC BY-NC 4.0 (https://creativecommons.org/licenses/by-nc/4.0/)
share_text: "3 papers in the tracked journals link to the OSF dataset c6mvs in their Crossref records, the first in 2020; most of them (1) in 2022. (as of 2026-11-03)"
data_url: https://scholar4ai.com/data/rankings.json
updated: 2026-11-03T14:43:26+09:00
window: 2026-10-05 to 2026-11-03
source: OpenAlex (CC0)
---

# c6mvs: papers linking to it

Research papers in the 480 tracked journals that link to c6mvs (https://osf.io/c6mvs/), read from their Crossref records: by year, category and journal, the family tree of papers building on one another, and the linked repositories derived from it or that it derives from.

- OSF
- https://osf.io/c6mvs/

All repositories: https://scholar4ai.com/code.md

## Key findings

- 3 papers in the tracked journals link to the OSF dataset c6mvs in their Crossref records, the first in 2020; most of them (1) in 2022.
- By category: Higher Education and Research (3); the journals with the most are Scientometrics (3).
- 2 of the papers build on one another: a later paper cites an earlier one that also links c6mvs.

## By year

*Papers linking to c6mvs by publication year*

| Year | Papers |
|---|---:|
| 2020 | 1 |
| 2021 | 1 |
| 2022 | 1 |

## Journals

*Journals whose papers link to c6mvs most*

| Journal | Papers |
|---|---:|
| [Scientometrics](https://scholar4ai.com/journals/scientometrics.md) | 3 |

## Family tree

Each paper sits under the earlier paper it builds on.

- [An observation framework for retracted publications in multiple dimensions](https://doi.org/10.1007/s11192-020-03702-3) (Scientometrics, 2020)
  - [A qualitative and quantitative analysis of open citations to retracted articles: the Wakefield 1998 et al.'s case](https://doi.org/10.1007/s11192-021-04097-5) (Scientometrics, 2021) — cites the paper above

## Papers

*Papers linking to c6mvs, most cited first*

| Published | Title | Journal | Authors | Citations | Link |
|---|---|---|---|---:|---|
| 2020-10-14 | [An observation framework for retracted publications in multiple dimensions](https://doi.org/10.1007/s11192-020-03702-3) | [Scientometrics](https://scholar4ai.com/journals/scientometrics.md) | Lingzi Feng, Junpeng Yuan, Liying Yang | 29 | cites it |
| 2021-08-05 | [A qualitative and quantitative analysis of open citations to retracted articles: the Wakefield 1998 et al.'s case](https://doi.org/10.1007/s11192-021-04097-5) | [Scientometrics](https://scholar4ai.com/journals/scientometrics.md) | Ivan Heibi, Silvio Peroni | 26 | cites it |
| 2022-04-04 | [Citing documents of Wakefield’s retracted article: the domino effect of authors and journals](https://doi.org/10.1007/s11192-022-04353-2) | [Scientometrics](https://scholar4ai.com/journals/scientometrics.md) | Jacqueline Leta, Kizi Mendonça de Araújo, Stephanie Treiber | 5 | cites it |

## How this is measured

Links are read from each paper's Crossref record as its publisher deposited it: the URLs and repository DOIs in its reference list (the software and data it cites) and its supplementary links (“is-supplemented-by”: its own code or data). A paper that gives its code only in the text, a footnote or a data availability statement is not counted, and some publishers deposit reference lists without their URLs, so every count here is a lower bound. Repository details come from the GitHub REST API (stars, forks, and the repository a fork was made from), the Hugging Face Hub API (likes, downloads, and the base model a model was derived from) and DataCite (Zenodo and other data DOIs, and the GitHub release a Zenodo record archives), read again every month.

## Cite this page

Scholar4AI. (2026). c6mvs: papers linking to it. Journal and Conference Research Rankings. Retrieved November 3, 2026, from https://scholar4ai.com/code/osf-c6mvs

```bibtex
@misc{scholar4ai-code-osf-c6mvs,
  author = {{Scholar4AI}},
  title = {c6mvs: papers linking to it},
  year = {2026},
  howpublished = {\url{https://scholar4ai.com/code/osf-c6mvs}},
  urldate = {2026-11-03},
  note = {Journal and Conference Research Rankings; data from OpenAlex (CC0); licensed CC BY-NC 4.0}
}
```

License: CC BY-NC 4.0 (https://creativecommons.org/licenses/by-nc/4.0/).