Qirina attempts to ascertain what sites are about based on an analysis of the text content on the front page. Did we get this one right? What do you think? If the niche has been incorrectly identified, in-silico.net's performance can probably be substantially improved by on-site SEO.
Here are some keywords which we've determined lie within the same circle of relevance as life sciences.
The site in-silico.net's front page was last accessed by Qirina at 04:32 UTC on November 29, 2012.
The source was comprised of 8701 characters,
of which 5460 are code,
leaving an organic character count of 3241. The total word count on the in-silico.net home page is 503.
We filtered out 3 numbers, 217 common words,
and 4 words shorter than three characters in length, leaving an impact word count of 270.
The size of the lexicon (number of unique words) is only 151.
We extracted 24 top keywords, leaving 15.89% above the threshold.
The number of phrases above the threshold was 30.
We found 1 significant keyword appearing in the domain name in-silico.net.
Source Character Count 8701 Code Character Count 5460 Organic Character Count 3241 Filtered Numbers 3 Filtered Words (Common) 217 Filtered Words (Short) 4 Total Word Count 503 Impact Paragraph Count 201 Impact Word Count 270 Impact Lexicon Size 151