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The phrase "as measured by many" is correct and usable in written English.
It can be used when referring to a standard or assessment that is commonly recognized or accepted by a large number of people or sources.
Example: "The effectiveness of the new policy, as measured by many, has shown significant improvement in employee satisfaction."
Alternatives: "according to numerous sources" or "as evaluated by many".
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A complicating factor during measurement of PRL levels is the presence of macroprolactin 2, which is essentially biologically inactive, but may lead to falsely high PRL levels as measured by many assays [ 66].
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The biggest news, in other words, is that while many people were exposed to fake news stories, few were taken in by them as measured by how many similar articles they went on to read.
Statistically, Don Bradman, a cricket player, has the best rating as measured by how many standard deviations his average is above the next highest player.
On its home page it lists the "Top 40 App Companies" as measured by how many times each company's applications have been installed on Facebook.
They looked at historic venture returns and found that "better-networked VC firms experience significantly better fund performance," as measured by how many of the companies in their portfolios exited via an IPO or acquisition.
ILI quantifies how much influenza activity we're seeing in a state, as measured by how many more cases than average there are of people with flu-like symptoms.
Sphericity can be measured by many ways.
Among school-aged children enrolled in a US cohort study with research measures of adiposity, we found that BMI, sum of skinfolds, and bioimpedance total fat were all strongly correlated with total fat mass as measured by DXA, which many consider to be a gold standard for field research.
With recent updates to EdgeRank, Facebook's proprietary content-ranking algorithm, your post's visibility is a function of affinity (how close you are to your friend, as measured by past interaction), weight (how many comments and likes your post received), and time decay (how recently you posted).
However models including these predictors did not perform as well (as measured by AIC) and often had many more missing values if limited to most recent information.
Support as measured by aLRT values was in many cases higher and seemed to provide overoptimistic estimations in our tree reconstructions, especially for nodes with only low BS or PP support.
More suggestions(16)
as measured by several
as illustrated by many
as demonstrated by many
as measured by multiple
as moderate by many
as biased by many
as predicted by many
as called by many
as shown by many
as appalled by many
as confirmed by many
as feared by many
as experienced by many
as evidenced by many
as noted by many
as anticipated by many
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Since I tried Ludwig back in 2017, I have been constantly using it in both editing and translation. Ever since, I suggest it to my translators at ProSciEditing.
Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com