A common feature of blogs written by scientists is a listing of all their publications. Publication lists are a great way to provide background information about your research. Publication lists should provide links to the fulltext versions of these publications, should be nicely formatted - e.g. using a common citation style such as APA - and should be easy to maintain.
The standard local file formats for bibliographic data are probably bibtex and RIS. They have been around for a long time, and are supported by all reference managers and many other tools and services.
Open Researcher & Contributor ID (ORCID) provides a persistent identifier for researchers and lets them claim their research outputs in the ORCID Registry. I have been involved with ORCID since early 2010 and I am happy to see that nine months after launch 200,000 researchers have signed up for the service, and the organization has more than 70 member organizations.
A keynote is a presentation typically given at a start of a conference that sets the central theme for the event. A keynote speaker usually has more time (45-60 min) than other presenters, and has the full attention of everyone attending the conference.
Figures are an important part of any scientific document. While the kind of figure commonly used obviously varies between disciplines, charts are an important part of many publications.
Altmetrics track the impact of scholarly works in the social web. Article-Level Metrics focuses on articles, but also looks at traditional citations and usage statistics. The PLOS Article-Level Metrics project was started in 2008. The altmetrics manifesto was published in October 2010 and described the fundamental ideas. By October 2011 we had a number of altmetrics tools, fueled by the Mendeley/PLOS API programming contest.
A few weeks ago Kafkas et al. (2013) published a paper looking at current patterns of how datasets o biological databases are cited in research articles, based on an analysis of the full text Open Access articles available from Europe PMC. They identified data citations by: Accession numbers available in articles as publisher-supplied, structured content; Accession numbers identified in articles by text mining;
Scholarly documents often need metadata that describe them: typically author(s), title and location (DOI or URL), but possibly many other things. For some metadata it makes sense to store them in the document text, e.g. as is typically done for citations. The problem is that this can make it hard to make the metadata machine-readable.
This paper in markdown format was written by Ethan White et al. The markdown file and the associated bibliogaphy and figure files are available from the Github repository of the paper. I used this version, an earlier version was published as PeerJ Preprint. Special thanks to Ethan White for allowing me to reuse this paper.
After the post last week and the crazy discussion that followed I would understand that you feel you have heard enough about citations in markdown. But I had the feeling last week that something was still missing, and I have done some more thinking.
