Structure- and Property-Based Design of Aminooxazoline Xanthenes as Selective, Orally Efficacious, and CNS Penetrable BACE Inhibitors for the Treatment of Alzheimer’s Disease

Overview of attention for article published in Journal of Medicinal Chemistry, September 2012

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Average Attention Score compared to outputs of the same age

Mentioned by

patent: 12 patents

Readers on

mendeley: 72 Mendeley

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Article details
Title	Structure- and Property-Based Design of Aminooxazoline Xanthenes as Selective, Orally Efficacious, and CNS Penetrable BACE Inhibitors for the Treatment of Alzheimer’s Disease
Published in	Journal of Medicinal Chemistry, September 2012
DOI	10.1021/jm300598e
Pubmed ID	22928914
Authors	Hongbing Huang, Daniel S. La, Alan C. Cheng, Douglas A. Whittington, Vinod F. Patel, Kui Chen, Thomas A. Dineen, Oleg Epstein, Russell Graceffa, Dean Hickman, Y.-H. Kiang, Steven Louie, Yi Luo, Robert C. Wahl, Paul H. Wen, Stephen Wood, Robert T. Fremeau

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Timeline

Mendeley demographics

The data shown below were compiled from readership statistics for 72 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Geographical breakdown
Country	Count	As %
Japan	2	3%
Italy	1	1%
India	1	1%
Spain	1	1%
Germany	1	1%
China	1	1%
Unknown	65	90%

Demographic breakdown

Readers by professional status
Readers by professional status	Count	As %
Researcher	16	22%
Student > Ph. D. Student	14	19%
Professor	7	10%
Student > Master	6	8%
Student > Bachelor	5	7%
Other	9	13%
Unknown	15	21%

Readers by discipline
Readers by discipline	Count	As %
Chemistry	33	46%
Pharmacology, Toxicology and Pharmaceutical Science	7	10%
Agricultural and Biological Sciences	7	10%
Medicine and Dentistry	3	4%
Chemical Engineering	2	3%
Other	5	7%
Unknown	15	21%

Attention Score in Context

This research output has an Altmetric Attention Score of 3. 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 21 August 2018.

All research outputs

#7,564,477

of 23,073,835 outputs

Outputs from Journal of Medicinal Chemistry

#12,832

of 22,159 outputs

Outputs of similar age

#56,191

of 169,301 outputs

Outputs of similar age from Journal of Medicinal Chemistry

#91

of 154 outputs

Altmetric has tracked 23,073,835 research outputs across all sources so far. This one is in the 44th percentile – i.e., 44% of other outputs scored the same or lower than it.

So far Altmetric has tracked 22,159 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 11th percentile – i.e., 11% 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 169,301 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 48th percentile – i.e., 48% of its contemporaries scored the same or lower than it.

We're also able to compare this research output to 154 others from the same source and published within six weeks on either side of this one. This one is in the 14th percentile – i.e., 14% of its contemporaries scored the same or lower than it.