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Model organism databases: essential resources that need the support of both funders and users

Overview of attention for article published in BMC Biology, June 2016
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Title
Model organism databases: essential resources that need the support of both funders and users
Published in
BMC Biology, June 2016
DOI 10.1186/s12915-016-0276-z
Pubmed ID
Authors

Stephen G. Oliver, Antonia Lock, Midori A. Harris, Paul Nurse, Valerie Wood

Abstract

Modern biomedical research depends critically on access to databases that house and disseminate genetic, genomic, molecular, and cell biological knowledge. Even as the explosion of available genome sequences and associated genome-scale data continues apace, the sustainability of professionally maintained biological databases is under threat due to policy changes by major funding agencies. Here, we focus on model organism databases to demonstrate the myriad ways in which biological databases not only act as repositories but actively facilitate advances in research. We present data that show that reducing financial support to model organism databases could prove to be not just scientifically, but also economically, unsound.

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The data shown below were collected from the profiles of 29 X users 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 59 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Brazil 2 3%
Singapore 1 2%
United Kingdom 1 2%
Unknown 55 93%

Demographic breakdown

Readers by professional status Count As %
Researcher 18 31%
Student > Ph. D. Student 8 14%
Student > Master 8 14%
Student > Bachelor 4 7%
Student > Doctoral Student 2 3%
Other 8 14%
Unknown 11 19%
Readers by discipline Count As %
Agricultural and Biological Sciences 19 32%
Biochemistry, Genetics and Molecular Biology 6 10%
Medicine and Dentistry 5 8%
Computer Science 4 7%
Immunology and Microbiology 3 5%
Other 10 17%
Unknown 12 20%