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Label-free integrative pharmacology on-target of opioid ligands at the opioid receptor family

Overview of attention for article published in BMC Pharmacology and Toxicology, March 2013
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • Among the highest-scoring outputs from this source (#50 of 462)
  • High Attention Score compared to outputs of the same age (88th percentile)
  • High Attention Score compared to outputs of the same age and source (91st percentile)

Mentioned by

blogs
1 blog
twitter
2 X users
patent
1 patent

Citations

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29 Dimensions

Readers on

mendeley
21 Mendeley
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Title
Label-free integrative pharmacology on-target of opioid ligands at the opioid receptor family
Published in
BMC Pharmacology and Toxicology, March 2013
DOI 10.1186/2050-6511-14-17
Pubmed ID
Authors

Megan Morse, Haiyan Sun, Elizabeth Tran, Robert Levenson, Ye Fang

Abstract

In vitro pharmacology of ligands is typically assessed using a variety of molecular assays based on predetermined molecular events in living cells. Many ligands including opioid ligands pose the ability to bind more than one receptor, and can also provide distinct operational bias to activate a specific receptor. Generating an integrative overview of the binding and functional selectivity of ligands for a receptor family is a critical but difficult step in drug discovery and development. Here we applied a newly developed label-free integrative pharmacology on-target (iPOT) approach to systematically survey the selectivity of a library of fifty-five opioid ligands against the opioid receptor family. All ligands were interrogated using dynamic mass redistribution (DMR) assays in both recombinant and native cell lines that express specific opioid receptor(s). The cells were modified with a set of probe molecules to manifest the binding and functional selectivity of ligands. DMR profiles were collected and translated to numerical coordinates that was subject to similarity analysis. A specific set of opioid ligands were then selected for quantitative pharmacology determination.

X Demographics

X Demographics

The data shown below were collected from the profiles of 2 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 21 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Denmark 1 5%
Italy 1 5%
Unknown 19 90%

Demographic breakdown

Readers by professional status Count As %
Researcher 5 24%
Student > Ph. D. Student 4 19%
Student > Master 3 14%
Professor > Associate Professor 2 10%
Student > Bachelor 2 10%
Other 1 5%
Unknown 4 19%
Readers by discipline Count As %
Medicine and Dentistry 3 14%
Engineering 3 14%
Agricultural and Biological Sciences 3 14%
Chemistry 2 10%
Biochemistry, Genetics and Molecular Biology 1 5%
Other 3 14%
Unknown 6 29%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 12. 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 30 June 2020.
All research outputs
#2,877,234
of 24,292,134 outputs
Outputs from BMC Pharmacology and Toxicology
#50
of 462 outputs
Outputs of similar age
#23,317
of 199,027 outputs
Outputs of similar age from BMC Pharmacology and Toxicology
#2
of 12 outputs
Altmetric has tracked 24,292,134 research outputs across all sources so far. Compared to these this one has done well and is in the 88th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 462 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.3. This one has done well, scoring higher than 89% 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 199,027 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 88% 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 particularly well, scoring higher than 91% of its contemporaries.