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Nutritional Composition, Anti-Diabetic Properties and Identification of Active Compounds Using UHPLC-ESI-Orbitrap-MS/MS in Mangifera odorata L. Peel and Seed Kernel

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

  • Above-average Attention Score compared to outputs of the same age (63rd percentile)
  • High Attention Score compared to outputs of the same age and source (83rd percentile)

Mentioned by

twitter
1 tweeter
wikipedia
1 Wikipedia page

Citations

dimensions_citation
9 Dimensions

Readers on

mendeley
39 Mendeley
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Title
Nutritional Composition, Anti-Diabetic Properties and Identification of Active Compounds Using UHPLC-ESI-Orbitrap-MS/MS in Mangifera odorata L. Peel and Seed Kernel
Published in
Molecules, January 2019
DOI 10.3390/molecules24020320
Pubmed ID
Authors

Nur Fatimah Lasano, Azizah Haji Hamid, Roselina Karim, Mohd Sabri Pak Dek, Radhiah Shukri, Nurul Shazini Ramli

Twitter Demographics

The data shown below were collected from the profile of 1 tweeter who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 39 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 39 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 9 23%
Student > Bachelor 7 18%
Researcher 5 13%
Student > Master 4 10%
Student > Doctoral Student 3 8%
Other 2 5%
Unknown 9 23%
Readers by discipline Count As %
Agricultural and Biological Sciences 10 26%
Chemistry 3 8%
Chemical Engineering 2 5%
Biochemistry, Genetics and Molecular Biology 2 5%
Pharmacology, Toxicology and Pharmaceutical Science 2 5%
Other 8 21%
Unknown 12 31%

Attention Score in Context

This research output has an Altmetric Attention Score of 4. 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 11 April 2020.
All research outputs
#4,664,837
of 15,418,159 outputs
Outputs from Molecules
#1,727
of 10,772 outputs
Outputs of similar age
#121,020
of 333,454 outputs
Outputs of similar age from Molecules
#18
of 118 outputs
Altmetric has tracked 15,418,159 research outputs across all sources so far. This one has received more attention than most of these and is in the 69th percentile.
So far Altmetric has tracked 10,772 research outputs from this source. They receive a mean Attention Score of 2.9. This one has done well, scoring higher than 83% 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 333,454 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 63% of its contemporaries.
We're also able to compare this research output to 118 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 83% of its contemporaries.