The primary feature in last Sunday’s Scopus release is the new “Analyze results“ tool previewed in my last post.  This builds directly on the “Export refine” functionality launched last May.  ”Export refine” enabled much of the same analysis, but required a user to manipulate raw data in a CSV file.  By adding this directly into Scopus, “Analyze results” expands the reach of this functionality to less advanced users.

“Analyze results” is also a descendant of the Documents section of the Author Evaluator launched in August 2010.  Essentially “Analyze results” expands the ability of the Author Evaluator from visualizing information about a single author’s publications to visualizing aggregate publication information on any arbitrary set of results.  Thus, the power of “Analyze results” is proportionate to the care and complexity of the query being examined.

Worth noting is that, “Analyze results” is different from the existing “View Citation Overview” function in that it evaluates quantity rather than quality.  Another difference is that “Analyze results” examines the whole set of results, while “View Citation Overview” looks only at a selected subset of results.  However, there are links within “Analyze Results” to the appropriate quality analysis tools in Scopus including the Journal Analyzer and Author Evaluator.

I am most excited about the “Source Title” tab of “Analyze Results” because it takes analysis one step deeper than a simple “Export refine”.  Furthermore, I believe the link to “Compare Source Titles in Journal Analyzer” is the true killer feature of  ”Analyze Results” as it will enable a user to compare journals on both subject matter and quality.  An example of this is described in both the training desk video and my previous post.

Please feel free to share feedback or comments on “Analyze results” or other enhancements from this release.

• @PascalVanHecke Thanks. Checking them out now… @mydivvi in reply to PascalVanHecke 2011-11-22
• @mfenner @joergheber Scopus profiles can be edited at http://t.co/tv41vGkm (updates go through QA team + take a couple of weeks) in reply to mfenner 2011-11-22

• André, P.,Teevan, J., Dumais, S. T.(2009) From X-Rays to Silly Putty via Uranus: Serendipity and its Role in Web Search http://t.co/RJvw1POf 2011-10-07
• “Thematic issue on the opportunistic discovery of information…” Information Research – Vol. 16 No. 3 http://t.co/WfEOjTBf #serendipity 2011-10-07
• For a chance to win an iPad2, download SciVerse Scopus or ScienceDirect for iPhone, Android, or BlackBerry | http://t.co/QZah5LdR 2011-10-06

• @monther7 The best way to get all your articles into one profile is through the new Scopus Author Feedback Wizard: http://t.co/tjORo98 in reply to monther7 2011-08-10

• EContent article I was interviewed for: One Book, Many Covers: Meeting the Challenges of Multiplatform Publishing http://t.co/AYKjm29 #li #
• 1Night.me: Renting (text)books a day at a time. #launch http://t.co/2TgThH0 via @1nightMe #
• BMJ Group blogs: BMJ Web Development Blog » Blog Archive » Scopus citation links, topic collection.. http://bit.ly/j1Jd0x #
• Scopus Alerts for BlackBerry now available – http://bit.ly/kCqoRU (for subscribers) alongside existing iPhone and Android versions. #

• First Android App! – Check out SciVerse Scopus Alerts (currently subscribers only) on the Android Market! http://t.co/WXNUi45 @scopus #li #

• “Scopus Author Feedback Wizard pilot: Published researchers, please help test this new tool. Thanks.”( http://twitthis.com/uhnv3b ) #
• InMaps – I visualized my LinkedIn network http://t.co/MClZKUa #

• Liked “Another win 4 #openscience Elsevier launches new SciVerse app store w/ Mendeley data APIs http://bit.ly/dRPmrY" http://ff.im/-unKUl #
• Liked “http://developer.sciverse.com/sdk An eclipse plugin for the SciVerse Applications software development kit” http://ff.im/-u2lkB #
• Liked “browsing the sciverse app gallery http://www.applications.sciverse.com/action/gallery – more here than i…” http://ff.im/-tME82 #
• I just learned my colleague sent a response earlier today. We are brainstorming on how to get around this. re: http://ff.im/tAVIf #
• Liked “Rankings: WoS vs Scopus” http://ff.im/-cvWAc #
• Liked “Kein Link? RT @Scopus JAMA article says: Scopus has 22% more citations than WoS” http://ff.im/-8vvlr #

Session abstract:
Do you have data? Have you decided that you want to publish that data in a friendly way? Then this session is for you. Allowing your data to be linked to other data sets is an obvious way to make your data more useful, and to contribute back to the data community that you are a part of, but the mechanics of how you do that is not always so clear cut. This session will discuss just that. With experts from the publishing world, the liked data community, and scientific data services, this is a unique opportunity to get an insight into how to create linked scientific data, and what you can do with it once you have created it.
- http://www.scienceonlinelondon.org/programme.php?tab=abstracts#breakout8

Richard Wallis’ slides from the session are available here:

http://www.slideshare.net/rjw/the-linked-data-publishing-threestep

Thanks to Ian Mulvany for organizing the panel:

http://directedgraph.net/2010/08/27/connecting-scientific-data/

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