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The phrase "knowledge is sparse" is grammatically correct and can be used in written English
It means that there is not a lot of information or understanding about a particular subject or topic. Example: In this field of science, knowledge is sparse and our understanding is limited to only a few key concepts.
Exact(8)
Not only does it focus attention on a very early period of Martian geology, of which knowledge is sparse, but the new findings, Dr. Murray said in an interview, also provide an intriguing geological record of "when there was an Earthlike atmosphere" on Mars.
Nevertheless, knowledge is sparse on the utility in primary care.
At present, knowledge is sparse on how nutrient limitation affects parasite performance at the host population level or how this affects the host populations.
Further, knowledge is sparse on clinical features and executive functions among adult male prison inmates confirmed with ADHD [ 6- 10] compared with adult ADHD among other groups and controls.
With respect to consequences of chronic phosphide exposure knowledge is sparse, but one descriptive study reported that most of a group of workers exposed to zinc phosphide had one or more neuropsychiatric symptoms including anxiety, impotence and easy fatigue.
Knowledge is sparse of GPs' opinions and attitudes regarding drug information services in general, and, in particular, when contrasting information from independent sources with the information originating from the pharmaceutical industry.
Similar(52)
Since medical knowledge was sparse, the presence of darker shoots on rye was probably thought to be the product of overexposure to the sun, so it was most likely eaten despite being poisonous.
As prior knowledge was sparse regarding the chosen predictors and their relationship to the success of establishing a new hESC line, a backward selection procedure was performed.
However, there is general consensus that awareness and knowledge are sparse and incomplete, suggesting a long and important road ahead for advocacy and awareness-raising efforts.
But contractors' knowledge of decontamination is sparse, and it is far from clear if their untried methods will prove effective.
This also emphasizes the value of integrating prior knowledge where data is sparse and noisy.
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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