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OPRM1 A118G Polymorphisms and Its Role in Opioid Addiction: Implication on Severity and Treatment Approaches

Overview of attention for article published in Pharmacogenomics and Personalized Medicine, November 2019
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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 (75th percentile)
  • High Attention Score compared to outputs of the same age and source (83rd percentile)

Mentioned by

twitter
7 X users
peer_reviews
1 peer review site
reddit
1 Redditor

Citations

dimensions_citation
37 Dimensions

Readers on

mendeley
77 Mendeley
Title
OPRM1 A118G Polymorphisms and Its Role in Opioid Addiction: Implication on Severity and Treatment Approaches
Published in
Pharmacogenomics and Personalized Medicine, November 2019
DOI 10.2147/pgpm.s198654
Pubmed ID
Authors

Malik Mumtaz Taqi, Muhammad Faisal, Hadar Zaman

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 77 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 77 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 9 12%
Student > Bachelor 9 12%
Student > Master 6 8%
Student > Doctoral Student 6 8%
Researcher 5 6%
Other 12 16%
Unknown 30 39%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 11 14%
Medicine and Dentistry 8 10%
Pharmacology, Toxicology and Pharmaceutical Science 7 9%
Neuroscience 5 6%
Agricultural and Biological Sciences 4 5%
Other 13 17%
Unknown 29 38%
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 13 April 2023.
All research outputs
#5,014,229
of 26,177,525 outputs
Outputs from Pharmacogenomics and Personalized Medicine
#58
of 374 outputs
Outputs of similar age
#93,685
of 381,793 outputs
Outputs of similar age from Pharmacogenomics and Personalized Medicine
#2
of 12 outputs
Altmetric has tracked 26,177,525 research outputs across all sources so far. Compared to these this one has done well and is in the 80th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 374 research outputs from this source. They receive a mean Attention Score of 4.7. This one has done well, scoring higher than 84% 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 381,793 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 75% of its contemporaries.
We're also able to compare this research output to 12 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.