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Virtual screening of Indonesian herbal compounds as COVID-19 supportive therapy: machine learning and pharmacophore modeling approaches

Overview of attention for article published in BMC Complementary Medicine and Therapies, August 2022
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About this Attention Score

  • In the top 5% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (96th percentile)
  • High Attention Score compared to outputs of the same age and source (98th percentile)

Mentioned by

twitter
89 X users

Citations

dimensions_citation
17 Dimensions

Readers on

mendeley
155 Mendeley
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Title
Virtual screening of Indonesian herbal compounds as COVID-19 supportive therapy: machine learning and pharmacophore modeling approaches
Published in
BMC Complementary Medicine and Therapies, August 2022
DOI 10.1186/s12906-022-03686-y
Pubmed ID
Authors

Linda Erlina, Rafika Indah Paramita, Wisnu Ananta Kusuma, Fadilah Fadilah, Aryo Tedjo, Irandi Putra Pratomo, Nabila Sekar Ramadhanti, Ahmad Kamal Nasution, Fadhlal Khaliq Surado, Aries Fitriawan, Khaerunissa Anbar Istiadi, Arry Yanuar

X Demographics

X Demographics

The data shown below were collected from the profiles of 89 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 155 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 155 100%

Demographic breakdown

Readers by professional status Count As %
Lecturer 17 11%
Student > Bachelor 17 11%
Researcher 16 10%
Student > Master 13 8%
Student > Postgraduate 5 3%
Other 19 12%
Unknown 68 44%
Readers by discipline Count As %
Computer Science 18 12%
Biochemistry, Genetics and Molecular Biology 14 9%
Pharmacology, Toxicology and Pharmaceutical Science 11 7%
Agricultural and Biological Sciences 7 5%
Medicine and Dentistry 7 5%
Other 26 17%
Unknown 72 46%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 62. 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 August 2023.
All research outputs
#709,054
of 25,845,895 outputs
Outputs from BMC Complementary Medicine and Therapies
#95
of 3,991 outputs
Outputs of similar age
#17,030
of 434,410 outputs
Outputs of similar age from BMC Complementary Medicine and Therapies
#1
of 55 outputs
Altmetric has tracked 25,845,895 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 97th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 3,991 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 9.8. This one has done particularly well, scoring higher than 97% 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 434,410 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 96% of its contemporaries.
We're also able to compare this research output to 55 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 98% of its contemporaries.