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Justyna Jupowicz-Kozak

CEO of Professional Science Editing for Scientists @ prosciediting.com

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mean relevance

Grammar usage guide and real-world examples

USAGE SUMMARY

The phrase "mean relevance" is correct and usable in written English.
It can be used in contexts where you are discussing the average or typical importance of something in relation to a specific topic or dataset. Example: "In our analysis, we found that the mean relevance of the articles was significantly higher than we initially expected."

✓ Grammatically correct

Science

News & Media

Human-verified examples from authoritative sources

Exact Expressions

15 human-written examples

To assess the content validity of the 40 items, a subgroup of patients (N = 26) were asked to rate the relevance or importance of each item on a scale from one to three: 1 = irrelevant, unimportant 2 = somewhat relevant, somewhat important 3 = very relevant, very important Mean relevance scores for each item were calculated.

A Canadian study found that the mean methodological quality score (58 %, 95 CI 51%–65%) and the mean relevanCI score (76%, 951% 65%2%–80%) of the references were significandly lower then the acceptable score of 80% (p<0.05) [18].The poor rating for meanodological quality was prelevancebecauscore the citation of references to low-quality review articles and "other" sources [18].

Science

Plosone

All other selected items had a mean relevance score above 2.0 (range 2.0 3.0).

In this study group the mean relevance of medical history questions for this patient case was 100%.

One selected item, S10, difficulty spreading your legs, had a mean relevance score 1.7 but was selected due to a high responsiveness (SRM = 1.44).

The indicators are ranked according to the mean relevance ratings of the patient group, showing the highest ranking indicator ("qualification of doctors") at the top of the list.

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Human-verified similar examples from authoritative sources

Similar Expressions

45 human-written examples

The proportion of reports published in HTA meeting MORE inclusion criteria and mean average relevance and newsworthiness ratings were calculated and compared with publications from the same studies publishing outside HTA and non-NIHR HTA funded publications.

Science

BMJ Open

The relevance in criteria 1, 2, 5 and 6 means the relevance of the futures maps to the customers or users of the maps.

For the total group the relevance scores on a cluster level were between 0.9 and 1, which meant high relevance scores for all clusters.

Which means that relevance no longer hinges on aesthetics alone.

For the most part, that means finding relevance in Twitter and bringing up the most important Tweets for any given keyword (see OneRiot, Collecta,Scoopler).

News & Media

TechCrunch
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Expert writing Tips

Best practice

When reporting quantitative data, specify the sample size and units of measurement associated with the "mean relevance" score for clarity.

Common error

Ensure that "relevance" refers to the applicability or importance of something, not its statistical significance. Use "statistical significance" or "p-value" when discussing the latter.

Antonio Rotolo, PhD - Digital Humanist | Computational Linguist | CEO @Ludwig.guru

Antonio Rotolo, PhD

Digital Humanist | Computational Linguist | CEO @Ludwig.guru

Source & Trust

84%

Authority and reliability

4.5/5

Expert rating

Real-world application tested

Linguistic Context

The phrase "mean relevance" functions as a noun phrase, referring to the average degree of importance or pertinence associated with a set of items or data. It is used to quantify the overall relevance in a given context. As Ludwig AI suggests, this phrase is perfectly correct and can be found in contexts of high importance.

Expression frequency: Common

Frequent in

Science

60%

News & Media

20%

Formal & Business

10%

Less common in

Encyclopedias

0%

Wiki

0%

Social Media

0%

Ludwig's WRAP-UP

In summary, "mean relevance" is a noun phrase used to describe the average degree of importance or applicability within a dataset. Ludwig AI indicates that the phrase is grammatically correct and commonly used, primarily in scientific and professional contexts. While alternatives like "average relevance" or "overall relevance" exist, "mean relevance" is a precise term suitable for formal writing. Ensure clarity by specifying sample sizes and avoiding confusion with statistical significance. The phrase appears frequently in scientific literature, particularly in publications such as BMC Musculoskeletal Disorders and BMJ Open, reflecting its utility in quantitative analysis and reporting.

FAQs

How is "mean relevance" calculated?

The "mean relevance" is typically calculated by assigning a numerical score to each item based on its relevance, summing these scores, and dividing by the number of items. This provides an average relevance score across all items.

What does a high "mean relevance" score indicate?

A high "mean relevance" score suggests that, on average, the items being evaluated are highly relevant to the context or topic under consideration. This implies that the items are pertinent and important.

What can I say instead of "mean relevance"?

You can use alternatives like "average relevance", "typical relevance", or "overall relevance" depending on the context.

In what fields is the term "mean relevance" commonly used?

The term "mean relevance" is frequently used in fields like information retrieval, data analysis, and healthcare, where assessing the average importance or applicability of data is crucial.

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Source & Trust

84%

Authority and reliability

4.5/5

Expert rating

Real-world application tested

Most frequent sentences: