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Quantitative affinity purification mass spectrometry: a versatile technology to study protein–protein interactions

Overview of attention for article published in Frontiers in Genetics, July 2015
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3 X users

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188 Mendeley
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Title
Quantitative affinity purification mass spectrometry: a versatile technology to study protein–protein interactions
Published in
Frontiers in Genetics, July 2015
DOI 10.3389/fgene.2015.00237
Pubmed ID
Authors

Katrina Meyer, Matthias Selbach

Abstract

While the genomic revolution has dramatically accelerated the discovery of disease-associated genes, the functional characterization of the corresponding proteins lags behind. Most proteins fulfill their tasks in complexes with other proteins, and analysis of protein-protein interactions (PPIs) can therefore provide insights into protein function. Several methods can be used to generate large-scale protein interaction networks. However, most of these approaches are not quantitative and therefore cannot reveal how perturbations affect the network. Here, we illustrate how a clever combination of quantitative mass spectrometry with different biochemical methods provides a rich toolkit to study different aspects of PPIs including topology, subunit stoichiometry, and dynamic behavior.

X Demographics

X Demographics

The data shown below were collected from the profiles of 3 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 188 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 1 <1%
Turkey 1 <1%
United States 1 <1%
Austria 1 <1%
Unknown 184 98%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 48 26%
Researcher 34 18%
Student > Master 34 18%
Student > Bachelor 16 9%
Student > Doctoral Student 12 6%
Other 14 7%
Unknown 30 16%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 67 36%
Agricultural and Biological Sciences 46 24%
Chemistry 13 7%
Medicine and Dentistry 8 4%
Engineering 5 3%
Other 15 8%
Unknown 34 18%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 2. 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 June 2017.
All research outputs
#14,818,336
of 22,817,213 outputs
Outputs from Frontiers in Genetics
#4,472
of 11,789 outputs
Outputs of similar age
#144,814
of 262,658 outputs
Outputs of similar age from Frontiers in Genetics
#50
of 82 outputs
Altmetric has tracked 22,817,213 research outputs across all sources so far. This one is in the 32nd percentile – i.e., 32% of other outputs scored the same or lower than it.
So far Altmetric has tracked 11,789 research outputs from this source. They receive a mean Attention Score of 3.7. This one has gotten more attention than average, scoring higher than 54% 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 262,658 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 41st percentile – i.e., 41% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 82 others from the same source and published within six weeks on either side of this one. This one is in the 32nd percentile – i.e., 32% of its contemporaries scored the same or lower than it.