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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Development of Photoswitchable Tethered Ligands that Target the μ‐Opioid Receptor
|
|---|---|
| Published in |
ChemMedChem, October 2023
|
| DOI | 10.1002/cmdc.202300228 |
| Pubmed ID | |
| Authors |
Ranit Lahmy, Harald Hübner, Daniel Lachmann, Peter Gmeiner, Burkhard König |
| Abstract |
Converting known ligands into photoswitchable derivatives offers the opportunity to modulate compound structure with light and hence, biological activity. In doing so, these probes provide unique control when evaluating G-protein-coupled receptor (GPCR) mechanism and function. Further conversion of such compounds into covalent probes, known as photoswitchable tethered ligands (PTLs), offers additional advantages. These include localization of the PTLs to the receptor binding pocket. Covalent localization increases local ligand concentration, improves site selectivity and may improve the biological differences between the respective isomers. This work describes chemical, photophysical and biochemical characterizations of a variety of PTLs designed to target the µ-opioid receptor (µOR). These PTLs were modeled on fentanyl, with the lead disulfide-containing agonist found to covalently interact with this medically-relevant receptor. |
X Demographics
The data shown below were collected from the profiles of 20 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Germany | 4 | 20% |
| Venezuela, Bolivarian Republic of | 1 | 5% |
| United States | 1 | 5% |
| Unknown | 14 | 70% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 11 | 55% |
| Scientists | 8 | 40% |
| Science communicators (journalists, bloggers, editors) | 1 | 5% |
Mendeley readers
The data shown below were compiled from readership statistics for 3 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 3 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Unspecified | 1 | 33% |
| Student > Master | 1 | 33% |
| Student > Ph. D. Student | 1 | 33% |
| Readers by discipline | Count | As % |
|---|---|---|
| Unspecified | 1 | 33% |
| Chemistry | 1 | 33% |
| Neuroscience | 1 | 33% |
Attention Score in Context
This research output has an Altmetric Attention Score of 13. 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 12 November 2023.
All research outputs
#2,711,455
of 25,305,422 outputs
Outputs from ChemMedChem
#183
of 3,577 outputs
Outputs of similar age
#42,259
of 350,245 outputs
Outputs of similar age from ChemMedChem
#3
of 63 outputs
Altmetric has tracked 25,305,422 research outputs across all sources so far. Compared to these this one has done well and is in the 89th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 3,577 research outputs from this source. They receive a mean Attention Score of 4.0. This one has done particularly well, scoring higher than 94% 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 350,245 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 87% of its contemporaries.
We're also able to compare this research output to 63 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 96% of its contemporaries.