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Development of iminosugar-based glycosidase inhibitors as drug candidates for SARS-CoV-2 virus via molecular modelling and in vitro studies

Overview of attention for article published in Journal of Enzyme Inhibition & Medicinal Chemistry, December 2023
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About this Attention Score

  • Good Attention Score compared to outputs of the same age (67th percentile)
  • High Attention Score compared to outputs of the same age and source (85th percentile)

Mentioned by

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7 X users

Citations

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2 Dimensions

Readers on

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5 Mendeley
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Title
Development of iminosugar-based glycosidase inhibitors as drug candidates for SARS-CoV-2 virus via molecular modelling and in vitro studies
Published in
Journal of Enzyme Inhibition & Medicinal Chemistry, December 2023
DOI 10.1080/14756366.2023.2289007
Pubmed ID
Authors

Zorana Ferjancic, Filip Bihelovic, Bojan Vulovic, Radomir Matovic, Milena Trmcic, Aleksandar Jankovic, Milos Pavlovic, Filip Djurkovic, Radivoje Prodanovic, Aleksandra Djurdjevic Djelmas, Nevena Kalicanin, Mario Zlatovic, Dusan Sladic, Thomas Vallet, Marco Vignuzzi, Radomir N. Saicic

X Demographics

X Demographics

The data shown below were collected from the profiles of 7 X users who shared this research output. Click here to find out more about how the information was compiled.
As of 1 July 2024, you may notice a temporary increase in the numbers of X profiles with Unknown location. Click here to learn more.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 5 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 5 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 2 40%
Student > Bachelor 1 20%
Librarian 1 20%
Unknown 1 20%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 2 40%
Veterinary Science and Veterinary Medicine 1 20%
Unknown 2 40%
Attention Score in Context

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 19 December 2023.
All research outputs
#8,586,912
of 26,181,776 outputs
Outputs from Journal of Enzyme Inhibition & Medicinal Chemistry
#290
of 1,365 outputs
Outputs of similar age
#123,313
of 379,072 outputs
Outputs of similar age from Journal of Enzyme Inhibition & Medicinal Chemistry
#3
of 20 outputs
Altmetric has tracked 26,181,776 research outputs across all sources so far. This one has received more attention than most of these and is in the 66th percentile.
So far Altmetric has tracked 1,365 research outputs from this source. They receive a mean Attention Score of 3.0. This one has done well, scoring higher than 76% 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 379,072 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 67% of its contemporaries.
We're also able to compare this research output to 20 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 85% of its contemporaries.