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Human genome–guided identification of memory-modulating drugs

Overview of attention for article published in Proceedings of the National Academy of Sciences of the United States of America, October 2013
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About this Attention Score

  • In the top 5% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (98th percentile)
  • High Attention Score compared to outputs of the same age and source (90th percentile)

Citations

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21 Dimensions

Readers on

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147 Mendeley
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1 CiteULike
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Title
Human genome–guided identification of memory-modulating drugs
Published in
Proceedings of the National Academy of Sciences of the United States of America, October 2013
DOI 10.1073/pnas.1314478110
Pubmed ID
Authors

Andreas Papassotiropoulos, Christiane Gerhards, Angela Heck, Sandra Ackermann, Amanda Aerni, Nathalie Schicktanz, Bianca Auschra, Philippe Demougin, Eva Mumme, Thomas Elbert, Verena Ertl, Leo Gschwind, Edveena Hanser, Kim-Dung Huynh, Frank Jessen, Iris-Tatjana Kolassa, Annette Milnik, Paolo Paganetti, Klara Spalek, Christian Vogler, Andreas Muhs, Andrea Pfeifer, Dominique J.-F. de Quervain

Abstract

In the last decade there has been an exponential increase in knowledge about the genetic basis of complex human traits, including neuropsychiatric disorders. It is not clear, however, to what extent this knowledge can be used as a starting point for drug identification, one of the central hopes of the human genome project. The aim of the present study was to identify memory-modulating compounds through the use of human genetic information. We performed a multinational collaborative study, which included assessment of aversive memory--a trait central to posttraumatic stress disorder--and a gene-set analysis in healthy individuals. We identified 20 potential drug target genes in two genomewide-corrected gene sets: the neuroactive ligand-receptor interaction and the long-term depression gene set. In a subsequent double-blind, placebo-controlled study in healthy volunteers, we aimed at providing a proof of concept for the genome-guided identification of memory modulating compounds. Pharmacological intervention at the neuroactive ligand-receptor interaction gene set led to significant reduction of aversive memory. The findings demonstrate that genome information, along with appropriate data mining methodology, can be used as a starting point for the identification of memory-modulating compounds.

X Demographics

X Demographics

The data shown below were collected from the profiles of 21 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 147 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 4 3%
Switzerland 3 2%
Hungary 1 <1%
Turkey 1 <1%
Germany 1 <1%
Spain 1 <1%
United Kingdom 1 <1%
Unknown 135 92%

Demographic breakdown

Readers by professional status Count As %
Researcher 31 21%
Student > Ph. D. Student 23 16%
Student > Bachelor 12 8%
Student > Postgraduate 10 7%
Student > Master 10 7%
Other 32 22%
Unknown 29 20%
Readers by discipline Count As %
Psychology 31 21%
Agricultural and Biological Sciences 26 18%
Medicine and Dentistry 24 16%
Neuroscience 7 5%
Chemistry 4 3%
Other 16 11%
Unknown 39 27%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 97. 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 December 2022.
All research outputs
#440,048
of 25,483,400 outputs
Outputs from Proceedings of the National Academy of Sciences of the United States of America
#7,846
of 103,183 outputs
Outputs of similar age
#3,444
of 224,583 outputs
Outputs of similar age from Proceedings of the National Academy of Sciences of the United States of America
#93
of 948 outputs
Altmetric has tracked 25,483,400 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 98th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 103,183 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 39.5. This one has done particularly well, scoring higher than 92% 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 224,583 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 98% of its contemporaries.
We're also able to compare this research output to 948 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 90% of its contemporaries.