ComMetrics Mnemonic Score

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Summary
What our words say about us and how this affects your readers is the focus of this measure. It assesses its content, complexity and  benchmarks you against the standard.

The ComMetrics Mnemonic Score  (you are here) is a text analysis algorithm that assigns a numerical weighting to each blog post or text content on a webpage (the higher the better).

The ComMetrics Mnemonic Score is part of what makes up the ComMetrics Footprint (see also ComMetrics Headline Score, ComMetrics Resonance Score,  ComMetrics Ripple Score, ComMetrics InfLink Score and the ComMetrics TriageHazard Score).  

The ComMetrics Mnemonic Score is calculated with the following algorithm as outlined below. We use the score obtained for A and divide it by the one we got for B to get the ComMetrics Mnemonic Score.

A – Big Word  Ratio

This is calculated based on the words being used and how they are being used.  Accordingly, longer sentences  The algorithm uses the following formula:

Big Word Ratio = SUM [(Total # of words / Total # of words with > 6 characters) ]

Example: [1200 words / 100 words that have more than 6 characters]    = Complexity Ratio  12 (the higher the better)

B – Word Count Score

All else being held constant, this ratio is calculated on the premise that the longer a sentence the more difficult it is to understand its content for the average reader.

Word Count Score  = SUM [Total # of words / Total # of sentences]

Example: [1200 words / 50 sentences]    = Word Count Sentence Score  24 (the lower the better)

How do we calculate the final score

In short, the numbers we get above are then used in the following way: Sum[(A  / B )] = ComMetrics Mnemonic Score Score (ranges from 0 to about 2 to 3) which we can then be used to rank your blog compared to the others.

The z-scores for the above indicators are added up to get an overall z-score.  This information is calculated into an overall score. Click here to find out how we process the raw data.

The actual ComMetrics Mnemonic  Score number is used in the ComMetrics algorithm to help determine the ComMetrics Footprint of the blog, website or other social media effort being benchmarked.

At this point, the overall scores are compared and rescaled using 100 as the top score.