Quickstart

Step 1:    Make a list of your identifiers. This can be as a comma-separated list, or as a CSV.

As a list, this might just be something like: 10.1080/0005772x.1997.11099339, 10.2307/40132944, 10.1017/cbo9781139506427

As a CSV, you can start with your favourite spreadsheet program, and create a sheet like the example below. As long as it has one or more of the headers "DOI", "PMID" or "PMICD" it will work:

Once you've done that, export it as a CSV. In Excel you can do this by choosing Save As and selecting CSV (Comma delimited) as the type. For more information see Microsoft's support page.

Step 2:    Copy your identifier list into the input box or use the "upload a file" link on our front page.

Step 3:    Take a break, put your feet up and let us do all the work. Depending on how many identifiers you've given us, it might take a little while to gather the results. We'll email you when they're ready.

Step 4:    Go to your finished report page. Here you can view a summary of the results, and download the full report as a CSV, which you can then open up in your spreadsheet package. You can also share this page, so others can see your results too.

You'll have the following information available to you in the spreadsheet:

• Some additional basic bibliographic information, such as Journal, Publisher, Title, and publication dates
• Whether the publication is in a repository (and which repositories)
• Whether the publication appears in EuropePMC, and some information about its status and version
• What re-use licence the publisher has applied
• Any embargo information about this publisher
• Any self-archiving policies for the pre-print, post-print or publisher's version
• Grant and PI information

If you want the full details of what information we gather, check out the output documentation, below.

In order to get you this information, Lantern queries a lot of external data services, so you should check out our sources page for more information on what we use and the re-use rights they may apply to the data