Citation Counts
The pure number of times that your data or publication has been cited.

Confidence: mid-to-low; not a true measure because papers/datasets may be cited for reasons other than acknowledging influence (refutation, etc.)

H-Index
A measure of impact derived from citation counts: researchers have an index h if exactly h of their published papers have been cited h or more times.

Confidence: high; have to produce highly cited papers in quantity to score well.

Page Views
The number of times the publication and/or dataset catalog page has been viewed.

Confidence: mid; indicates of the level of interest in the dataset, and the level of awareness of its existence.

Download Counts
The number of times the publication and/or dataset catalog page has been downloaded.

Confidence: mid-high; indicates a strong level of interest in the data, but the metric doesn't reveal how the downloaded data was used.

Journal Impact Factor (JIF)
Gauges impact of a journal in a given year, defined as the number of citations received by papers published in the journal the preceding two years. Officially calculated by Thomson Reuters.

Confidence: low; it’s often used as a proxy measure for other things.

Post Publication Peer Review
A method of quality control where articles/datasets are reviewed after publication.

Confidence: low; more concerned with quality control than impact, but the nature of these reviews may reveal evidence of impact.

Bibliographic Managers
Services such as Mendeley, Zotero, CiteULike, and BibSonomy allow users to record online resources for their own reference or to recommend them to others.

Confidence: mid-to-low; rec feature weighs more heavily than simply adding to a bibliography.

Social Media Links
When a dataset or publication is mentioned on social media such as Twitter, blogs, Facebook ,etc.

Confidence: mid-to-low; the tone of the post is important but if people want to share with the WWW, it’s likely the research has had an impact on them.

Open Researcher & Contributor ID

• free! persistent identifier for researchers (think DOI)
• link all your publications to you rather than someone with your same name!
• many journals are asking for an ORCID upon submission of materials

Do you have one? No? Let’s get you an ORCID.org!

When you publish, you should make the underlying data available in a repository that issues DOIs! You then link that DOI in your "Supplementary Materials" section!

This means that anyone who wants to use your data must go to this repository, download it, and cite their use if they publish using it!

You can also submit your data to a peer-reviewed data journal! These all issue DOIs and will associate your data with the corresponding publication.

Examples:

• Nature → Scientific Data
• PLoS Journals → PLoS One

**here is a list of data journals**

• Pulls data from another open source, non-profit -- ORCID
• Tracks impacts from a variety of sources, including social media
• Can't sell your data.

• Their impact score calculated via a proprietary algorithm, which can reach high values under questionable circumstances.
• Can sell your data if they want.

• Although papers can be read by non-users, an account is needed in order to download papers
• Can sell your data if they want.