From the website:
Publish or Perish is a software program that retrieves and analyzes academic citations. It uses Google Scholar to obtain the raw citations, then analyzes these and presents the following statistics:
- Total number of papers
- Total number of citations
- Average number of citations per paper
- Average number of citations per author
- Average number of papers per author
- Average number of citations per year
- Hirsch's h-index and related parameters
- Egghe's g-index
- The contemporary h-index
- The age-weighted citation rate
- Two variations of individual h-indices
- An analysis of the number of authors per paper.
The results are available on-screen and can also be copied to the Windows clipboard (for pasting into other applications) or saved to a variety of output formats (for future reference or further analysis). Publish or Perish includes a detailed help file with search tips and additional information about the citation metrics. Anne-Wil Harzing welcomes user feedback to help her improve the program.
From the website:
Splunk is the search engine for logs and IT data. It's software that indexes and enables you to search, navigate, alert and report on all the data logged by any application, server or network device in real-time.
The planned instruments will standardize data-collection procedures and definitions, and allow consolidation and analysis of data across institutions. Individual archives will be able to benchmark against their peers, which will help them improve their services, and prove their value to their parent institutions. The project benefits from recent strides in research on metrics development and testing in the research library and digital collection fields.ned instruments will standardize data-collection procedures and definitions, and allow consolidation and analysis of data across institutions. Individual archives will be able to benchmark against their peers, which will help them improve their services, and prove their value to their parent institutions. The project benefits from recent strides in research on metrics development and testing in the research library and digital collection fields.
DBIx::SQLCrosstab produces a SQL query to interrogate a database and generate a cross-tabulation report. The amount of parameters needed to achieve the result is kept to a minimum. You need to indicate which columns and rows to cross and from which table(s) they should be taken. Acting on your info, DBIx::SQLCrosstab creates an appropriate query to get the desired result. Compared to spreadsheet based cross-tabulations, DBIx::SQLCrosstab has two distinct advantages, i.e. it keeps the query in the database work space, fully exploiting the engine capabilities, and does not limit the data extraction to one table.
See http://gmax.oltrelinux.com/cgi-bin/xtab.cgi for an interactive example.


