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The PinkThing for analysing ChIP profiling data in their genomic context

Overview of attention for article published in BMC Research Notes, April 2013
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Citations

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23 Mendeley
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Title
The PinkThing for analysing ChIP profiling data in their genomic context
Published in
BMC Research Notes, April 2013
DOI 10.1186/1756-0500-6-133
Pubmed ID
Authors

Fiona G Nielsen, Maarten Kooyman, Philip Kensche, Hendrik Marks, Henk Stunnenberg, Martijn Huynen

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 23 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 1 4%
Portugal 1 4%
Unknown 21 91%

Demographic breakdown

Readers by professional status Count As %
Researcher 6 26%
Student > Ph. D. Student 5 22%
Professor 4 17%
Student > Master 3 13%
Student > Bachelor 2 9%
Other 3 13%
Readers by discipline Count As %
Agricultural and Biological Sciences 10 43%
Biochemistry, Genetics and Molecular Biology 9 39%
Computer Science 2 9%
Unknown 2 9%