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A personalized pharmaco-epistatic network model of precision medicine

Overview of attention for article published in Drug Discovery Today, May 2023
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • Good Attention Score compared to outputs of the same age (79th percentile)
  • Good Attention Score compared to outputs of the same age and source (76th percentile)

Mentioned by

news
1 news outlet

Readers on

mendeley
4 Mendeley
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Article details
Title
A personalized pharmaco-epistatic network model of precision medicine
Published in
Drug Discovery Today, May 2023
DOI 10.1016/j.drudis.2023.103608
Pubmed ID
Authors

Li Feng, Wuyue Yang, Mengdong Ding, Luke Hou, Claudia Gragnoli, Christopher Griffin, Rongling Wu

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Timeline Attention over time Attention Score history
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Activity
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Mendeley demographics

Mendeley demographics

The data shown below were compiled from readership statistics for 4 Mendeley readers of this research output. Click here to see the associated Mendeley record.
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Geographical breakdown

Geographical breakdown
Country Count As %
Unknown 4 100%

Demographic breakdown

Readers by professional status
Readers by professional status Count As %
Student > Bachelor 1 25%
Other 1 25%
Unknown 2 50%
Readers by discipline
Readers by discipline Count As %
Medicine and Dentistry 1 25%
Unknown 3 75%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 8. 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 17 May 2023.
All research outputs
#4,374,136
of 25,394,764 outputs
Outputs from Drug Discovery Today
#695
of 2,886 outputs
Outputs of similar age
#84,021
of 406,560 outputs
Outputs of similar age from Drug Discovery Today
#9
of 39 outputs
Altmetric has tracked 25,394,764 research outputs across all sources so far. Compared to these this one has done well and is in the 82nd percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 2,886 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 7.5. This one has done well, scoring higher than 75% 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 406,560 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 79% of its contemporaries.
We're also able to compare this research output to 39 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 76% of its contemporaries.