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Mendeley readers
Attention Score in Context
| Title |
Fragment-based identification and optimization of a class of potent pyrrolo[2,1-f][1,2,4]triazine MAP4K4 inhibitors
|
|---|---|
| Published in |
Bioorganic & Medicinal Chemistry Letters, August 2014
|
| DOI | 10.1016/j.bmcl.2014.07.071 |
| Pubmed ID | |
| Authors |
Lan Wang, Mark Stanley, Jason W. Boggs, Terry D. Crawford, Brandon J. Bravo, Anthony M. Giannetti, Seth F. Harris, Steven R. Magnuson, Jim Nonomiya, Stephen Schmidt, Ping Wu, Weilan Ye, Stephen E. Gould, Lesley J. Murray, Chudi O. Ndubaku, Huifen Chen |
| Abstract |
MAP4K4 has been shown to regulate key cellular processes that are tied to disease pathogenesis. In an effort to generate small molecule MAP4K4 inhibitors, a fragment-based screen was carried out and a pyrrolotriazine fragment with excellent ligand efficiency was identified. Further modification of this fragment guided by X-ray crystal structures and molecular modeling led to the discovery of a series of promising compounds with good structural diversity and physicochemical properties. These compounds exhibited single digit nanomolar potency and compounds 35 and 44 achieved good in vivo exposure. |
Mendeley readers
The data shown below were compiled from readership statistics for 41 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 2 | 5% |
| Japan | 1 | 2% |
| Unknown | 38 | 93% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 14 | 34% |
| Student > Ph. D. Student | 5 | 12% |
| Other | 2 | 5% |
| Student > Doctoral Student | 2 | 5% |
| Student > Bachelor | 2 | 5% |
| Other | 9 | 22% |
| Unknown | 7 | 17% |
| Readers by discipline | Count | As % |
|---|---|---|
| Chemistry | 19 | 46% |
| Agricultural and Biological Sciences | 6 | 15% |
| Biochemistry, Genetics and Molecular Biology | 6 | 15% |
| Unspecified | 1 | 2% |
| Psychology | 1 | 2% |
| Other | 1 | 2% |
| Unknown | 7 | 17% |
Attention Score in Context
This research output has an Altmetric Attention Score of 14. 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 06 February 2024.
All research outputs
#2,638,705
of 25,373,627 outputs
Outputs from Bioorganic & Medicinal Chemistry Letters
#321
of 13,779 outputs
Outputs of similar age
#25,989
of 241,128 outputs
Outputs of similar age from Bioorganic & Medicinal Chemistry Letters
#4
of 120 outputs
Altmetric has tracked 25,373,627 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 13,779 research outputs from this source. They receive a mean Attention Score of 4.9. This one has done particularly well, scoring higher than 97% 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 241,128 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 89% of its contemporaries.
We're also able to compare this research output to 120 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.