poor quantity

USAGE SUMMARY

The phrase "poor quantity" is correct and usable in written English.
It can be used to describe an insufficient or inadequate amount of something, often in contexts like supply, resources, or data. Example: "The poor quantity of available resources hindered the project's progress."

✓ Grammatically correct

Science

News & Media

Wiki

Human-verified examples from authoritative sources

Exact Expressions

8 human-written examples

The results showed C. papaya pulp contain trace amount of Fe, and Zn (2.56 and 0.06 respectively) and very poor quantity of Cu.

Chemistry Central Journal

Having a poor quantity of qi in the body, would result in illness, and eventually death.

Wikipedia

Both factors restrict diverse genetic techniques like polymerase chain reactions due to poor quantity, purity and length of the RNA and DNA.

Plosone

However, the success rate of implant is relatively low for the patients with poor quantity and quality of alveolar bone and with some diseases like osteoporosis.

BioMed Research International

For overall SNP genotyping assay, the reported error rate for 983 cases was 0.33% which involved DNA extracts of poor quantity and quality.

BioMed Research International

While in overweight children these behaviors may be more related to avoidance of school or other social situations, vague bodily pain, malaise and fatigue could also be related to poor quantity or quality sleep associated with sleep disordered breathing.

BMC Pediatrics

Human-verified similar examples from authoritative sources

Similar Expressions

52 human-written examples

Interventions for child health and causes of child death have had more programmatic data (coverage and process), collected more frequently, at a more granular level (e.g. district level, by various equity analyses groups), than for newborn health, where the data is of poorer quantity and quality, and has been collected with less frequency [ 3].

BMC Pregnancy and Childbirth

Poor bone quantity and quality have been suggested as a reason for this differential success rate.

Journal of Cranio-Maxillofacial Surgery

Because insomnia sufferers report poor sleep quantity and quality, the objective of this study was to document the occurrence of spontaneous K-complexes in Stage 2 sleep of individuals with chronic insomnia.

Journal of Psychosomatic Research

Because data are often poor in quantity and quality, scenario preparation and computer simulation, based on the projection of the most reliable data sets available, are most likely to generate findings upon which policymakers can formulate cyclone-based, risk-sensitive regional policies.

International Journal of Disaster Risk Science

Take simple precautions to minimize dysregulation due to poor sleep quantity and/or quality.

Huffington Post

Expert writing Tips

Best practice

When describing research findings, use "poor quantity" to objectively state that the sample size or amount of data was limited, potentially affecting the study's conclusions.

Common error

Be mindful of the difference between "quality" and "quantity". "Quantity" refers to the amount or number of something, while "quality" refers to its characteristics or how good it is. Using the wrong term can significantly alter your intended meaning.

Linguistic Context

The phrase "poor quantity" functions as an adjective-noun phrase, where "poor" modifies the noun "quantity". According to Ludwig AI, it's grammatically correct and commonly used to describe an insufficient or inadequate amount of something, influencing the outcome or quality of a process or situation.

Expression frequency: Uncommon

Frequent in

Science

60%

News & Media

20%

Wiki

10%

Less common in

Encyclopedias

5%

Formal & Business

5%

Ludwig's WRAP-UP

The phrase "poor quantity" is a grammatically sound and frequently employed term, particularly in scientific and journalistic contexts, to denote an inadequate or insufficient amount of something. As confirmed by Ludwig AI, it is often used to describe limitations in research, resource availability, or other situations where the amount matters. Alternatives include "insufficient amount" or "inadequate supply". It's crucial to distinguish "quantity" from "quality" to ensure accurate communication. When utilizing "poor quantity" in writing, ensure it accurately reflects the inadequacy of the amount in question, especially in academic or technical fields where precision is key.

More alternative expressions

Phrases that express similar concepts, ordered by semantic similarity:

insufficient amount

Replaces "poor" with "insufficient", emphasizing a lack of what's needed.

inadequate supply

Focuses on the supply aspect, indicating it doesn't meet requirements.

limited volume

Emphasizes restriction in the total space or capacity.

deficient proportion

Highlights that the ratio or share is lacking.

meager sum

Suggests a small or insufficient total.

sparse amount

Conveys a sense of something being thinly distributed or present.

weak presence

Highlights a lack of strength or impact in the amount.

low availability

Focuses on how accessible or obtainable something is.

reduced intake

Specifies that the amount being taken in is diminished.

minimal capacity

Indicates that the ability to hold or contain something is very small.

FAQs

How can I use "poor quantity" in a sentence?

You can use "poor quantity" to describe an insufficient amount of something. For example, "The experiment suffered from a "poor quantity" of data." or "The plants died due to a "poor quantity" of sunlight."

What can I say instead of "poor quantity"?

You can use alternatives like "insufficient amount", "inadequate supply", or "limited volume" depending on the specific context.

Is it more appropriate to say "low quantity" or "poor quantity"?

Both "low quantity" and "poor quantity" can be used, but "poor quantity" often implies that the insufficiency is problematic or has negative consequences. "Low quantity" is a more neutral statement of fact.

How does "poor quantity" affect research results?

A "poor quantity" of data or samples in research can lead to unreliable or inconclusive results. It can limit the statistical power of the study and make it difficult to draw meaningful conclusions.