Gridbased Collaboration in Interactive Data Language Applications
2005
- 283Usage
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Example: if you select the 1-year option for an article published in 2019 and a metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019. If you select the 3-year option for the same article published in 2019 and the metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019, 2018 and 2017.
Citation Benchmarking is provided by Scopus and SciVal and is different from the metrics context provided by PlumX Metrics.
Example: if you select the 1-year option for an article published in 2019 and a metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019. If you select the 3-year option for the same article published in 2019 and the metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019, 2018 and 2017.
Citation Benchmarking is provided by Scopus and SciVal and is different from the metrics context provided by PlumX Metrics.
Metrics Details
- Usage283
- Downloads248
- Abstract Views35
Article Description
Interactive Data Language (IDL) is an array-oriented data analysis and visualization application, which is widely used in research, commerce, and education. It is meaningful to make user IDL applications collaborative between computers over networks, using a common message broker as the underlying communication system. In order to achieve the global collaboration, we have brought together in the research a Grid-based Collaboration paradigm, a Shared Event model, different implementing structures, methodologies and technologies. We have succeeded in our prototype codes, and we are currently working on a real life IDL application package to make it collaborative. At the same time, we are trying to find better structures and methods for the collaboration in general user IDL applications.
Bibliographic Details
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