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Terpene Derivatives as a Potential Agent against Antimicrobial Resistance (AMR) Pathogens

Overview of attention for article published in Molecules, July 2019
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About this Attention Score

  • Above-average Attention Score compared to outputs of the same age (51st percentile)
  • Above-average Attention Score compared to outputs of the same age and source (62nd percentile)

Mentioned by

twitter
6 X users

Readers on

mendeley
437 Mendeley
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Title
Terpene Derivatives as a Potential Agent against Antimicrobial Resistance (AMR) Pathogens
Published in
Molecules, July 2019
DOI 10.3390/molecules24142631
Pubmed ID
Authors

Nik Amirah Mahizan, Shun-Kai Yang, Chew-Li Moo, Adelene Ai-Lian Song, Chou-Min Chong, Chun-Wie Chong, Aisha Abushelaibi, Swee-Hua Erin Lim, Kok-Song Lai

X Demographics

X Demographics

The data shown below were collected from the profiles of 6 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 437 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 437 100%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 76 17%
Student > Ph. D. Student 46 11%
Student > Master 38 9%
Researcher 25 6%
Student > Doctoral Student 22 5%
Other 44 10%
Unknown 186 43%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 49 11%
Agricultural and Biological Sciences 44 10%
Pharmacology, Toxicology and Pharmaceutical Science 33 8%
Chemistry 31 7%
Medicine and Dentistry 24 5%
Other 61 14%
Unknown 195 45%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 3. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 26 May 2022.
All research outputs
#14,641,821
of 25,774,185 outputs
Outputs from Molecules
#6,919
of 24,057 outputs
Outputs of similar age
#171,637
of 359,472 outputs
Outputs of similar age from Molecules
#250
of 686 outputs
Altmetric has tracked 25,774,185 research outputs across all sources so far. This one is in the 42nd percentile – i.e., 42% of other outputs scored the same or lower than it.
So far Altmetric has tracked 24,057 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.3. This one has gotten more attention than average, scoring higher than 70% of its peers.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 359,472 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 51% of its contemporaries.
We're also able to compare this research output to 686 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 62% of its contemporaries.