You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output.
Click here to find out more.
Mendeley readers
Attention Score in Context
| Title |
Metabolic Soft Spot Identification and Compound Optimization in Early Discovery Phases Using MetaSite and LC-MS/MS Validation
|
|---|---|
| Published in |
Journal of Medicinal Chemistry, December 2008
|
| DOI | 10.1021/jm8008663 |
| Pubmed ID | |
| Authors |
Markus Trunzer, Bernard Faller, Alfred Zimmerlin |
| Abstract |
Metabolic stability is a key property to enable drugs to reach therapeutic concentrations. Microsomal clearance assays are used to dial out labile compounds in early discovery phases. However, because they do not provide any information on soft spots, the rational design of more stable compounds remains challenging. A robust soft spot identification procedure combining in silico prediction ranking using MetaSite and mass-spectrometric confirmation is described. MetaSite's first rank order predictions were experimentally confirmed for only about 55% of the compounds. For another 29% of the compounds, the second (20%) or the third (9%) rank order predictions were detected. This automatic and high-throughput reprioritization of a likely soft-spot increases the likelihood of working on the right soft spot from about 50% to more than 80%. With this information, the structure-metabolism relationships are likely to be understood faster and earlier in drug discovery. |
Mendeley readers
The data shown below were compiled from readership statistics for 91 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 2 | 2% |
| Brazil | 1 | 1% |
| United Kingdom | 1 | 1% |
| India | 1 | 1% |
| Japan | 1 | 1% |
| Poland | 1 | 1% |
| Unknown | 84 | 92% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 29 | 32% |
| Student > Ph. D. Student | 17 | 19% |
| Student > Master | 12 | 13% |
| Professor > Associate Professor | 4 | 4% |
| Student > Bachelor | 3 | 3% |
| Other | 11 | 12% |
| Unknown | 15 | 16% |
| Readers by discipline | Count | As % |
|---|---|---|
| Chemistry | 40 | 44% |
| Agricultural and Biological Sciences | 13 | 14% |
| Pharmacology, Toxicology and Pharmaceutical Science | 9 | 10% |
| Biochemistry, Genetics and Molecular Biology | 4 | 4% |
| Medicine and Dentistry | 3 | 3% |
| Other | 3 | 3% |
| Unknown | 19 | 21% |
Attention Score in Context
This research output has an Altmetric Attention Score of 1. 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 14 May 2009.
All research outputs
#15,240,835
of 22,660,862 outputs
Outputs from Journal of Medicinal Chemistry
#20,454
of 22,008 outputs
Outputs of similar age
#141,015
of 168,256 outputs
Outputs of similar age from Journal of Medicinal Chemistry
#150
of 151 outputs
Altmetric has tracked 22,660,862 research outputs across all sources so far. This one is in the 22nd percentile – i.e., 22% of other outputs scored the same or lower than it.
So far Altmetric has tracked 22,008 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.7. This one is in the 4th percentile – i.e., 4% of its peers scored the same or lower than it.
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 168,256 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 7th percentile – i.e., 7% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 151 others from the same source and published within six weeks on either side of this one. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.