↓ Skip to main content

Data mining in proteomics

Overview of attention for book
Cover of 'Data mining in proteomics'

Table of Contents

  1. Altmetric Badge
    Book Overview
  2. Altmetric Badge
    Chapter 1 Instruments and Methods in Proteomics
  3. Altmetric Badge
    Chapter 2 In-Depth Protein Characterization by Mass Spectrometry
  4. Altmetric Badge
    Chapter 3 Analysis of Phosphoproteomics Data
  5. Altmetric Badge
    Chapter 4 Data Mining in Proteomics
  6. Altmetric Badge
    Chapter 5 Laboratory Data and Sample Management for Proteomics
  7. Altmetric Badge
    Chapter 6 PRIDE and “Database on Demand” as Valuable Tools for Computational Proteomics
  8. Altmetric Badge
    Chapter 7 Analysing Proteomics Identifications in the Context of Functional and Structural Protein Annotation: Integrating Annotation Using PICR, DAS, and BioMart
  9. Altmetric Badge
    Chapter 8 Tranche Distributed Repository and ProteomeCommons.org
  10. Altmetric Badge
    Chapter 9 Data Standardization by the HUPO-PSI: How has the Community Benefitted?
  11. Altmetric Badge
    Chapter 10 mzIdentML: An Open Community-Built Standard Format for the Results of Proteomics Spectrum Identification Algorithms
  12. Altmetric Badge
    Chapter 11 Spectra, Chromatograms, Metadata: mzML-The Standard Data Format for Mass Spectrometer Output
  13. Altmetric Badge
    Chapter 12 imzML: Imaging Mass Spectrometry Markup Language: A Common Data Format for Mass Spectrometry Imaging
  14. Altmetric Badge
    Chapter 13 Tandem Mass Spectrometry Spectral Libraries and Library Searching
  15. Altmetric Badge
    Chapter 14 Inter-Lab Proteomics: Data Mining in Collaborative Projects on the Basis of the HUPO Brain Proteome Project’s Pilot Studies
  16. Altmetric Badge
    Chapter 15 Data Management and Data Integration in the HUPO Plasma Proteome Project
  17. Altmetric Badge
    Chapter 16 Statistics in Experimental Design, Preprocessing, and Analysis of Proteomics Data
  18. Altmetric Badge
    Chapter 17 The Evolution of Protein Interaction Networks
  19. Altmetric Badge
    Chapter 18 Cytoscape: software for visualization and analysis of biological networks.
  20. Altmetric Badge
    Chapter 19 Data Mining in Proteomics
  21. Altmetric Badge
    Chapter 20 Identification of alternatively spliced transcripts using a proteomic informatics approach.
  22. Altmetric Badge
    Chapter 21 Distributions of ion series in ETD and CID spectra: making a comparison.
  23. Altmetric Badge
    Chapter 22 Evaluation of Peak-Picking Algorithms for Protein Mass Spectrometry
  24. Altmetric Badge
    Chapter 23 OpenMS and TOPP: Open Source Software for LC-MS Data Analysis
  25. Altmetric Badge
    Chapter 24 LC/MS Data Processing for Label-Free Quantitative Analysis
  26. Altmetric Badge
    Chapter 25 Spectral Properties of Correlation Matrices – Towards Enhanced Spectral Clustering
  27. Altmetric Badge
    Chapter 26 Standards, Databases, and Modeling Tools in Systems Biology
  28. Altmetric Badge
    Chapter 27 Modeling of Cellular Processes: Methods, Data, and Requirements
Attention for Chapter 12: imzML: Imaging Mass Spectrometry Markup Language: A Common Data Format for Mass Spectrometry Imaging
Altmetric Badge

Mentioned by

twitter
1 X user

Citations

dimensions_citation
16 Dimensions

Readers on

mendeley
56 Mendeley
citeulike
3 CiteULike
You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output. Click here to find out more.
Chapter title
imzML: Imaging Mass Spectrometry Markup Language: A Common Data Format for Mass Spectrometry Imaging
Chapter number 12
Book title
Data Mining in Proteomics
Published in
Methods in molecular biology, January 2011
DOI 10.1007/978-1-60761-987-1_12
Pubmed ID
Book ISBNs
978-1-60761-986-4, 978-1-60761-987-1
Authors

Andreas Römpp, Thorsten Schramm, Alfons Hester, Ivo Klinkert, Jean-Pierre Both, Ron M. A. Heeren, Markus Stöckli, Bernhard Spengler, Römpp, Andreas, Schramm, Thorsten, Hester, Alfons, Klinkert, Ivo, Both, Jean-Pierre, Heeren, Ron M. A., Stöckli, Markus, Spengler, Bernhard

X Demographics

X Demographics

The data shown below were collected from the profile of 1 X user 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 56 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 1 2%
Canada 1 2%
South Africa 1 2%
Unknown 53 95%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 17 30%
Researcher 10 18%
Student > Master 6 11%
Professor 5 9%
Other 3 5%
Other 6 11%
Unknown 9 16%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 11 20%
Agricultural and Biological Sciences 10 18%
Medicine and Dentistry 6 11%
Chemistry 6 11%
Engineering 3 5%
Other 9 16%
Unknown 11 20%
Attention Score in Context

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 04 February 2022.
All research outputs
#18,610,562
of 23,053,169 outputs
Outputs from Methods in molecular biology
#7,985
of 13,196 outputs
Outputs of similar age
#161,496
of 181,847 outputs
Outputs of similar age from Methods in molecular biology
#166
of 230 outputs
Altmetric has tracked 23,053,169 research outputs across all sources so far. This one is in the 11th percentile – i.e., 11% of other outputs scored the same or lower than it.
So far Altmetric has tracked 13,196 research outputs from this source. They receive a mean Attention Score of 3.4. This one is in the 24th percentile – i.e., 24% 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 181,847 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 5th percentile – i.e., 5% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 230 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.