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A Computational Framework for Proteome-Wide Pursuit and Prediction of Metalloproteins using ICP-MS and MS/MS Data

Overview of attention for article published in BMC Bioinformatics, February 2011
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Citations

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42 Mendeley
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Title
A Computational Framework for Proteome-Wide Pursuit and Prediction of Metalloproteins using ICP-MS and MS/MS Data
Published in
BMC Bioinformatics, February 2011
DOI 10.1186/1471-2105-12-64
Pubmed ID
Authors

W Andrew Lancaster, Jeremy L Praissman, Farris L Poole, Aleksandar Cvetkovic, Angeli Lal Menon, Joseph W Scott, Francis E Jenney, Michael P Thorgersen, Ewa Kalisiak, Junefredo V Apon, Sunia A Trauger, Gary Siuzdak, John A Tainer, Michael W W Adams

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 42 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Germany 1 2%
Luxembourg 1 2%
Canada 1 2%
Brazil 1 2%
Unknown 38 90%

Demographic breakdown

Readers by professional status Count As %
Researcher 10 24%
Student > Ph. D. Student 7 17%
Student > Postgraduate 4 10%
Professor > Associate Professor 4 10%
Student > Master 4 10%
Other 9 21%
Unknown 4 10%
Readers by discipline Count As %
Agricultural and Biological Sciences 23 55%
Chemistry 5 12%
Biochemistry, Genetics and Molecular Biology 4 10%
Computer Science 2 5%
Pharmacology, Toxicology and Pharmaceutical Science 1 2%
Other 3 7%
Unknown 4 10%