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Identification of PPARγ ligands with One-dimensional Drug Profile Matching

Overview of attention for article published in Drug Design, Development and Therapy, September 2013
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2 tweeters

Citations

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4 Dimensions

Readers on

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23 Mendeley
Title
Identification of PPARγ ligands with One-dimensional Drug Profile Matching
Published in
Drug Design, Development and Therapy, September 2013
DOI 10.2147/dddt.s47173
Pubmed ID
Authors

Barna Peitl, Diána Kovács, Zoltán Simon, Péter Hári, András Málnási-Csizmadia, László Drimba, Jozsef Németh, Réka Sári, Zoltán Szilvássy, Csaba Hegedűs

Abstract

Computational molecular database screening helps to decrease the time and resources needed for drug development. Reintroduction of generic drugs by second medical use patents also contributes to cheaper and faster drug development processes. We screened, in silico, the Food and Drug Administration-approved generic drug database by means of the One-dimensional Drug Profile Matching (oDPM) method in order to find potential peroxisome proliferator-activated receptor gamma (PPARγ) agonists. The PPARγ action of the selected generics was also investigated by in vitro and in vivo experiments.

Twitter Demographics

The data shown below were collected from the profiles of 2 tweeters who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 23 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Spain 1 4%
Turkey 1 4%
Unknown 21 91%

Demographic breakdown

Readers by professional status Count As %
Researcher 5 22%
Student > Master 3 13%
Lecturer > Senior Lecturer 2 9%
Professor 1 4%
Student > Bachelor 1 4%
Other 6 26%
Unknown 5 22%
Readers by discipline Count As %
Medicine and Dentistry 6 26%
Agricultural and Biological Sciences 4 17%
Computer Science 3 13%
Chemistry 2 9%
Nursing and Health Professions 1 4%
Other 4 17%
Unknown 3 13%

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 22 December 2013.
All research outputs
#3,071,711
of 4,507,280 outputs
Outputs from Drug Design, Development and Therapy
#323
of 566 outputs
Outputs of similar age
#64,292
of 93,908 outputs
Outputs of similar age from Drug Design, Development and Therapy
#28
of 36 outputs
Altmetric has tracked 4,507,280 research outputs across all sources so far. This one is in the 21st percentile – i.e., 21% of other outputs scored the same or lower than it.
So far Altmetric has tracked 566 research outputs from this source. They receive a mean Attention Score of 2.0. This one is in the 28th percentile – i.e., 28% 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 93,908 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 20th percentile – i.e., 20% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 36 others from the same source and published within six weeks on either side of this one. This one is in the 13th percentile – i.e., 13% of its contemporaries scored the same or lower than it.