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LifeMap Discovery™: The Embryonic Development, Stem Cells, and Regenerative Medicine Research Portal

Overview of attention for article published in PLOS ONE, July 2013
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Citations

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118 Mendeley
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2 CiteULike
Title
LifeMap Discovery™: The Embryonic Development, Stem Cells, and Regenerative Medicine Research Portal
Published in
PLOS ONE, July 2013
DOI 10.1371/journal.pone.0066629
Pubmed ID
Authors

Ron Edgar, Yaron Mazor, Ariel Rinon, Jacob Blumenthal, Yaron Golan, Ella Buzhor, Idit Livnat, Shani Ben-Ari, Iris Lieder, Alina Shitrit, Yaron Gilboa, Ahmi Ben-Yehudah, Osnat Edri, Netta Shraga, Yoel Bogoch, Lucy Leshansky, Shlomi Aharoni, Michael D. West, David Warshawsky, Ronit Shtrichman

Abstract

LifeMap Discovery™ provides investigators with an integrated database of embryonic development, stem cell biology and regenerative medicine. The hand-curated reconstruction of cell ontology with stem cell biology; including molecular, cellular, anatomical and disease-related information, provides efficient and easy-to-use, searchable research tools. The database collates in vivo and in vitro gene expression and guides translation from in vitro data to the clinical utility, and thus can be utilized as a powerful tool for research and discovery in stem cell biology, developmental biology, disease mechanisms and therapeutic discovery. LifeMap Discovery is freely available to academic nonprofit institutions at http://discovery.lifemapsc.com.

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 118 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 2 2%
Japan 2 2%
United Kingdom 1 <1%
Italy 1 <1%
Spain 1 <1%
Unknown 111 94%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 24 20%
Researcher 18 15%
Student > Master 18 15%
Student > Bachelor 11 9%
Other 8 7%
Other 15 13%
Unknown 24 20%
Readers by discipline Count As %
Agricultural and Biological Sciences 37 31%
Biochemistry, Genetics and Molecular Biology 22 19%
Medicine and Dentistry 12 10%
Computer Science 3 3%
Engineering 3 3%
Other 16 14%
Unknown 25 21%