Altmetric is a powerful web application that tracks online conversations about scientific articles. It searches for mentions of scholarly works on social media sites, scholarly bookmarking services, and in science news outlets. Altmetric collects and analyzes hundreds of thousands of postings about tens of thousands of articles and datasets each month.
This data is made available to end users through a web interface and to developers through an API. The Altmetric API functions using REST calls issued in JSON and JSONP.
Of the many APIs we published this week, seven were highlighted on the blog by our team of writers. In this post, we’ll launch those seven into the spotlight, which included the Treasure Data API. Treasure Data is an open source and fast approach to set up data on the cloud without an IT professional. The Treasure Data API sets up the cloud data warehouse through Hadoop-based cloud warehousing using Apache Hive. The API supports uploads from Java, Ruby, Python and others while also supporting SSL encryption. To learn more about the Treasure Data API visit the Treasure Data site as well as the Treasure Data API blog post.
What if you published ground-breaking research. Would anybody notice? How would you know they noticed? Such questions aren't just for the narcissistic mad scientists among us. What if you funded the research? You'd want to know the impact. Altmetric tracks "article level mentions". These metrics are defined by the Public Library of Science (PLOS) as measuring usage, citations, social bookmarking and activity, media coverage (including blogs), ratings and discussion activity. The Altmetric API provides access to its metrics that are derived from its database of over 300,000 articles and over 8,000 journals.
The BigMarker API enables users to programmatically access a webinar platform. The API provides methods to create and manage conferences, plus plan, invite, promote, facilitate, record, and follow-up...