If you had two sheets of graph paper, one linear and one logarithmic and you were plotting by had 20 data points on each sheet and assuming the same data points were used on each sheet, would the curves be identical?
You really don't get it do you? If I have a point of data that has a value of 3, it still has a value of 3 against a log scale or linear scale. The analysis of the data is not about the shape of the graph, the data doesn't change just becasue you changed the scaling.
If I have numbers that range from 0-10, I would use a linear scale.
If I have numbers that range from 0.000001-100000 (for example) I'd use a log scale so the smaller numbers would not be 'squashed' up at the lower end of the scale, and would play an equal and important part in the visual presentation of my data. The scale is a choose which depends on your data range, and with modern packages this can be quickly changed to produce the best visual representation.
... but as explained, graphs aren't analysis, they are visual representations that aid the reader with the textual aspect of the analysis. I've written a PhD and professional research science, and understand the difference appropriate representation of data through visual means, and writing analysis to support a graph.
Now, if you looks at your data, how often does the data falls below your arbitrary level? That's the real question.