In a single search click you're able to retrieve results from PubMed, MedlinePlus, and the NIH Library Catalog. You can also personalize the search by selecting which databases you want to search. Look for the "select sources" box located directly next to the search button. To the left of the search box is a drop down menu where you can select searches limited to keywords, title, or author.
After you click search and before the results appear you'll see each database being tapped with the number of records retrieved.
Results pages contain a great deal of info and appear a bit busy making it a small challenge to actually find the search results. But that's why this is a beta.
+ At the top of the results page is "Explore and Discover" offers related terms that are hyperlinked.
+ Below "Explore and Discover" are the numerical totals of how many results were retrieved by the engine
+ In the left margin are what appears to be dynamically generated categories that allow you to focus your search and potentially find relationships that could not be seen reviewing one result at a time. Categories can be sorted by topics, source, or topics graph. Selecting the topics graph opens a new window and provides (we think? Topics Graph did not work when we tried it) a visualized view of the categories).
+ In the middle column are the actual search results with the database source listed below the snippet. At the top of the results column a drop down menu let's you sort results by relevance or date. What does date mean? The day the page was created? The day the page was first crawled? The date it was last updated? The date the page was last crawled? You'll also notice a magnifying glass icon next to the title of each result. Click it and a box will appear with the actual page you want to view. In other words, you never leave the results page.
+ The third column contains hypertext links to other databases (Worldcat.org; USA.gov; PubMed Central and many others) and the number of results they contain for your search term. Click and run the search in the selected database. So, in reality, AllPlus Search allows you to quickly find results from more than three databases. Results from Ask, Google, and Yahoo are also available here.
Finally, for our H1N1 search you'll find images (from Google Images) in the fourth column.
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At this point, we were unable to find any search documentation or help pages.
This is an early beta that we will check often for changes and updates. Many of the issues are aesthetic rather than technical.
UPDATE: The All-Plus search beta now allows you to decide via links on the home page which type of data or format your looking for before entering search terms and clicking search.
A family of resources to help information workers be more effective, raise the value of information in their organisations and contribute to success. Read more »
Recently I have found myself cooing over visualisation maps (and heat maps) of health and well being resources. The content rich data is overlayed with mapping technologies, and some interesting themes and patterns are emerging.
A lot of the talk around social media in the last year has been around information overload. Social media has provided us with new and exciting ways to create content. But it has also meant learning new ways to manage and engage with social media tools. Are we teetering on the edge of an information overload precipice?
Information overload is a figment of your imagination. Or a failure of your filter. Or a symptom of your technological submissiveness. Depends on who you ask.
What if you had to sort through 3.5 million articles and social media posts a day and try to pull out the most relevant items for your organisation? What if you then had to cobble it all together into something readable for your top groups and executives in your organisation?
Alacra Compliance saves time by aggregating information from both free and fee-based sources and enabling users to conduct an accurate federated search across these sources (coined “simultaneous search” by Alacra).
FreePint Family
Quilting big data threads
The fallacy of information overload
Information overload: fact, fantasy or filter failure? 
