Indexing, archiving and access to data
Table of contents
How do I request a BioMed Central API key?
You can request a free API key from the Springer developer site.
Are there any examples of metadata responses from the BioMed Central API?
Example metadata responses are given in the API documentation on the Springer developer site.
How do I use the API RESTful operations?
Further information on using our RESTful API is available on the Springer developer site.
What is the recommended usage of the BioMed Central API?
Our content is licensed using a Creative Commons license (CC-By 4.0) and waiver (CC0 for data). Use of BioMed Central content harvested via the API is covered by our License Agreement.
What are article metrics?
Article metrics provide information on the usage and dissemination of published articles. Examples include:
- Article accesses
- Bookmarking/rating/discussion via bibliographic tools/sites such as Papers
- Social media sharing, such as Facebook, Twitter
Article metrics are provided for all articles published by BioMed Central, to help readers assess the importance and impact of these articles.
What article metrics does BioMed Central provide?
The following metrics are currently available:
- Access counts – the number of times an article has been accessed on BioMed Central and SpringerLink. Our access counts are COUNTER-compliant. More information
- Citation counts – our citations database is updated in real time. New citations are added as soon as they become available in the CrossRef database. More information
- Altmetric.com – Altmetric.com tracks the discussion and dissemination of articles following their publication. It aggregates the mentions on Twitter and social media sites, and coverage in online reference managers, mainstream news sources and blogs, to present an overview of the interest a published article is receiving online. More information
How does BioMed Central ensure article metrics are reliable?
We monitor and filter article access data to remove 'suspicious' accesses that may distort access statistics. Our access counts are COUNTER-compliant. More information
BioMed Central deposits the articles that it publishes in multiple digital archives around the world to guarantee long-term digital preservation.
These archives include:
BioMed Central makes article metadata available in compliance with Open Archives Initiative protocols, enabling automated 'harvesting' of our research articles for inclusion in any other digital archives. We support non-exclusive digital archiving of research articles by as many international archives as possible, to ensure the security and permanent accessibility of that research [more information about BioMed Central's support for OAI].
BioMed Central is a participant in the LOCKSS (Lots of Copies Keep Stuff Safe) initiative. LOCKSS will enable any library to maintain their own archive of content from BioMed Central and other publishers, with minimal technical effort and using cheaply available hardware.
To facilitate data mining research, the full-text XML of all BioMed Central open access research articles is available for ftp download as a ZIP archive. See our data mining research page for more details.
MathJax uses the MathML or TeX stored within the XML of the article and uses modern CSS and web fonts instead of images so that equations scale with the surrounding text at all zoom levels. If MathML or TeX is available, MathJax will be used to render the math by default.
Scaling the page when equations are delivered as graphics causes pixelation and the image becomes difficult to read. This image shows the normal and zoomed view of an equation displayed as a graphic.
Scaling with MathJax enabled, however, allows for all math to scale at the same zoom rate as the text. The image below shows a MathJax rendered equation at standard and zoomed view (please note, this is actually a screenshot, and is therefore an image).
The reader has the option to turn MathJax off or on using the toggle switch.
Other benefits of using MathJax include:
Copy and paste - lets readers copy equations from articles into Word and LaTeX documents, science blogs, research wikis, calculation software such as Maple, Mathematica and more.
Accessibility - compatible with screenreaders used by people with vision disabilities, and the Zoom feature allows all readers to see small details such as scripts, primes and hats. MathJax is supported in most modern browsers, including Chrome, Firefox and Safari.
If you would prefer to view our site without using MathJax, you can disable it by:
1 - unticking the MathJax box and the page will refresh to show graphics instead of the MathML
2 - right clicking an equation to manually select HTML-CSS as the renderer
An increasing number of journals are being archived on the Internet. The development of common search standards to sift through this wealth of academic information will be crucial to making it both accessible and fully searchable for the academic community.
The Open Archives Initiative (OAI) Metadata Harvesting Protocol is a set of uniform standards which allow "metadata" on archive holdings (i.e. a description of the information within the archive, e.g. title, authors and abstract of a research article) to be automatically shared between archives.
BioMed Central fully supports the OAI Metadata Harvesting Protocol. Metadata for all the articles we publish is available via our OAI interface. This data is already harvested and used by Citebase, myOAI, NASA Technical Reports and other services. Additionally, thanks to BioMed Central's open access policy, repositories may also use our OAI interface to obtain the full text XML of any open access research article published by BioMed Central.
Technical Information (for developers)
BioMed Central supports OAI protocol version 2.0.
The base URL for BioMed Central's OAI interface
The base URL for BioMed Central's OAI interface can be found here.
Metadata for all articles is available in Dublin Core format, and also in BioMed Central's own XML article metadata format.
In addition, all research articles published by BioMed Central are covered by our open access policy, and the full text XML of these articles is available as another 'metadata format'.
Each journal published by BioMed Central for all articles is defined as a 'Set' within the BioMed Central OAI interface.
In addition, research articles and non-research articles are defined as 'Sets', to make it easy to harvest the full text XML of all research articles.
General information can be found at the Open Archives Initiative website.
Please address any specific queries about use of the BMC OAI repository interface to email@example.com