The phrase "amount of attrition" is correct and usable in written English.
It can be used when discussing the level or degree of loss, typically in a workforce or membership context.
Example: "The company is concerned about the high amount of attrition among its employees this year."
Alternatives: "rate of attrition" or "level of attrition".
"In a female-dominated profession, there's also a certain amount of attrition for family reasons, which creates opportunities for those coming up," she adds.
"There is going to be a phenomenal amount of attrition of women voters to Hillary Clinton; I just don't think that's going to be because Hillary Clinton is in anyway a good or acceptable candidate or because she has two x chromosomes," said Liz Mair, a Republican operative and the founder of the anti-Trump Pac Make America Awesome.
But attrition begins soon after, at the undergraduate level, though the amount of attrition varies widely among the science and engineering (S&E) disciplines (Thom, 2001).
A new error-weighted integral technique was also developed, which allows simultaneous extraction of the aggregation and breakage selection rate constant, as well as the attrition constant that reveals the relative amount of attrition during FBMG.
Childhood deaths provide a small amount of attrition.
We can expect a certain amount of attrition when migrating to such platforms.
Comparison of Figures 2c and d shows considerable variability in the amount of attrition-related apoptosis among control cultures of different platings (∼8% in Figure 2c versus ∼2% in Figure 2d).
Therefore, even a relatively small amount of telomere attrition during adulthood might tip the balance from health to disease without altering the individual's ranking.
Despite these measures, some amount of bias and attrition is inevitable.
Therefore, the estimates are based on a much larger amount of data and observations lost through attrition of the longitudinal study are included in the analyses.
First, as in all reentry studies and most panel studies, there is a non-trivial amount of missing data due to subject attrition in the SVORI data, which could introduce bias into our models.
