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Computer Aided Screening of Secreted Frizzled-Related Protein 4 (SFRP4): A Potential Control for Diabetes Mellitus

Overview of attention for article published in Molecules, July 2014
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  • Good Attention Score compared to outputs of the same age (73rd percentile)
  • Good Attention Score compared to outputs of the same age and source (77th percentile)

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Title
Computer Aided Screening of Secreted Frizzled-Related Protein 4 (SFRP4): A Potential Control for Diabetes Mellitus
Published in
Molecules, July 2014
DOI 10.3390/molecules190710129
Pubmed ID
Authors

Shazia Anwer Bukhari, Waseem Akhtar Shamshari, Mahmood Ur-Rahman, Muhammad Zia-Ul-Haq, Hawa Z E Jaafar

Abstract

Diabetes mellitus is a life threatening disease and scientists are doing their best to find a cost effective and permanent treatment of this malady. The recent trend is to control the disease by target base inhibiting of enzymes or proteins. Secreted frizzled-related protein 4 (SFRP4) is found to cause five times more risk of diabetes when expressed above average levels. This study was therefore designed to analyze the SFRP4 and to find its potential inhibitors. SFRP4 was analyzed by bio-informatics tools of sequence tool and structure tool. A total of three potential inhibitors of SFRP4 were found, namely cyclothiazide, clopamide and perindopril. These inhibitors showed significant interactions with SFRP4 as compared to other inhibitors as well as control (acetohexamide). The findings suggest the possible treatment of diabetes mellitus type 2 by inhibiting the SFRP4 using the inhibitors cyclothiazide, clopamide and perindopril.

X Demographics

X Demographics

The data shown below were collected from the profiles of 4 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

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 %
Unknown 23 100%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 5 22%
Student > Ph. D. Student 4 17%
Student > Master 3 13%
Researcher 3 13%
Student > Postgraduate 2 9%
Other 2 9%
Unknown 4 17%
Readers by discipline Count As %
Medicine and Dentistry 6 26%
Agricultural and Biological Sciences 4 17%
Engineering 3 13%
Pharmacology, Toxicology and Pharmaceutical Science 2 9%
Decision Sciences 1 4%
Other 1 4%
Unknown 6 26%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 5. 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 17 June 2016.
All research outputs
#6,272,396
of 22,758,248 outputs
Outputs from Molecules
#3,120
of 19,509 outputs
Outputs of similar age
#59,109
of 226,417 outputs
Outputs of similar age from Molecules
#33
of 146 outputs
Altmetric has tracked 22,758,248 research outputs across all sources so far. This one has received more attention than most of these and is in the 72nd percentile.
So far Altmetric has tracked 19,509 research outputs from this source. They receive a mean Attention Score of 4.1. This one has done well, scoring higher than 83% 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 226,417 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 73% of its contemporaries.
We're also able to compare this research output to 146 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 77% of its contemporaries.