Skip to content
This repository was archived by the owner on May 29, 2018. It is now read-only.
This repository was archived by the owner on May 29, 2018. It is now read-only.

Classifying software citations #2

@bmcfee

Description

@bmcfee

The mapping between paper text/citations and software projects will probably be difficult. Here are a few ways I see this going down:

  • Direct citation of software with a proper DOI. This our best case.
  • Citation/footnote of software via url. This is probably more common (depending on field), but also not hard to catch.
  • Citation of a paper related to a project. Some software authors prefer this method, since it maps directly onto their h-index. Downside: these look just like ordinary paper citations. We'll probably need a preliminary web crawl of projects in this category before analyzing paper text.

What else can go wrong? Have other previous studies run into and/or solved these issues already?

Metadata

Metadata

Assignees

No one assigned

    Labels

    No labels
    No labels

    Type

    No type

    Projects

    No projects

    Milestone

    No milestone

    Relationships

    None yet

    Development

    No branches or pull requests

    Issue actions