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Cell-Wide Identification of Metabolite-Protein Interactions

Overview of attention for book
Cover of 'Cell-Wide Identification of Metabolite-Protein Interactions'

Table of Contents

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    Book Overview
  2. Altmetric Badge
    Chapter 1 Protein–Metabolite Interactions Shape Cellular Metabolism and Physiology
  3. Altmetric Badge
    Chapter 2 Affinity Purification Protocol Starting with a Small Molecule as Bait
  4. Altmetric Badge
    Chapter 3 Cellular Thermal Shift Assay for the Detection of Small Molecule–Target Interactions in Arabidopsis Cells
  5. Altmetric Badge
    Chapter 4 Solvent-Induced Protein Precipitation for Drug Target Discovery
  6. Altmetric Badge
    Chapter 5 Identification of Plant Protein–Metabolite Interactions by Limited Proteolysis-Coupled Mass Spectrometry (LiP-MS)
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    Chapter 6 Limited Proteolysis-Mass Spectrometry to Identify Metabolite-Protein Interactions
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    Chapter 7 Proteome Integral Solubility Alteration (PISA) for High-Throughput Ligand Target Deconvolution with Increased Statistical Significance and Reduced Sample Amount
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    Chapter 8 Parallel Analysis of Protein–Protein and Protein–Metabolite Complexes Using a Single-Step Affinity Purification
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    Chapter 9 Detecting and Characterizing Interactions of Metabolites with Proteins by Saturation Transfer Difference Nuclear Magnetic Resonance (STD NMR) Spectroscopy
  11. Altmetric Badge
    Chapter 10 PROMIS: Co-fractionation Mass Spectrometry for Analysis of Protein–Metabolite Interactions
  12. Altmetric Badge
    Chapter 11 Metabolomics: Going Deeper, Going Broader, Going Further
  13. Altmetric Badge
    Chapter 12 Specifics of Metabolite-Protein Interactions and Their Computational Analysis and Prediction
  14. Altmetric Badge
    Chapter 13 Biophysical Approaches for the Characterization of Protein-Metabolite Interactions
  15. Altmetric Badge
    Chapter 14 Databases and Tools to Investigate Protein-Metabolite Interactions
Attention for Chapter 6: Limited Proteolysis-Mass Spectrometry to Identify Metabolite-Protein Interactions
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • Good Attention Score compared to outputs of the same age (78th percentile)
  • High Attention Score compared to outputs of the same age and source (82nd percentile)

Mentioned by

news
1 news outlet

Citations

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2 Dimensions

Readers on

mendeley
17 Mendeley
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Chapter title
Limited Proteolysis-Mass Spectrometry to Identify Metabolite-Protein Interactions
Chapter number 6
Book title
Cell-Wide Identification of Metabolite-Protein Interactions
Published in
Methods in molecular biology, October 2022
DOI 10.1007/978-1-0716-2624-5_6
Pubmed ID
Book ISBNs
978-1-07-162623-8, 978-1-07-162624-5
Authors

Holfeld, Aleš, Quast, Jan-Philipp, Bruderer, Roland, Reiter, Lukas, de Souza, Natalie, Picotti, Paola

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 17 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 17 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 5 29%
Unspecified 2 12%
Student > Master 2 12%
Researcher 2 12%
Student > Bachelor 1 6%
Other 0 0%
Unknown 5 29%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 6 35%
Unspecified 2 12%
Agricultural and Biological Sciences 2 12%
Chemistry 2 12%
Unknown 5 29%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 7. 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 07 March 2023.
All research outputs
#4,599,559
of 23,577,761 outputs
Outputs from Methods in molecular biology
#1,174
of 13,423 outputs
Outputs of similar age
#91,890
of 441,135 outputs
Outputs of similar age from Methods in molecular biology
#15
of 186 outputs
Altmetric has tracked 23,577,761 research outputs across all sources so far. Compared to these this one has done well and is in the 80th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 13,423 research outputs from this source. They receive a mean Attention Score of 3.4. This one has done particularly well, scoring higher than 90% 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 441,135 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 78% of its contemporaries.
We're also able to compare this research output to 186 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 82% of its contemporaries.