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The BioStudies database—one stop shop for all data supporting a life sciences study

Overview of attention for article published in Nucleic Acids Research, October 2017
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Title
The BioStudies database—one stop shop for all data supporting a life sciences study
Published in
Nucleic Acids Research, October 2017
DOI 10.1093/nar/gkx965
Pubmed ID
Authors

Ugis Sarkans, Mikhail Gostev, Awais Athar, Ehsan Behrangi, Olga Melnichuk, Ahmed Ali, Jasmine Minguet, Juan Camillo Rada, Catherine Snow, Andrew Tikhonov, Alvis Brazma, Johanna McEntyre

Abstract

BioStudies ( www.ebi.ac.uk/biostudies ) is a new public database that organizes data from biological studies. Typically, but not exclusively, a study is associated with a publication. BioStudies offers a simple way to describe the study structure, and provides flexible data deposition tools and data access interfaces. The actual data can be stored either in BioStudies or remotely, or both. BioStudies imports supplementary data from Europe PMC, and is a resource for authors and publishers for packaging data during the manuscript preparation process. It also can support data management needs of collaborative projects. The growth in multiomics experiments and other multi-faceted approaches to life sciences research mean that studies result in a diversity of data outputs in multiple locations. BioStudies presents a solution to ensuring that all these data and the associated publication(s) can be found coherently in the longer term.

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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 73 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 73 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 17 23%
Student > Master 10 14%
Student > Ph. D. Student 8 11%
Student > Doctoral Student 7 10%
Student > Bachelor 6 8%
Other 9 12%
Unknown 16 22%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 12 16%
Agricultural and Biological Sciences 11 15%
Medicine and Dentistry 9 12%
Computer Science 7 10%
Business, Management and Accounting 2 3%
Other 10 14%
Unknown 22 30%
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 31 October 2017.
All research outputs
#18,575,277
of 23,007,053 outputs
Outputs from Nucleic Acids Research
#23,997
of 26,383 outputs
Outputs of similar age
#250,993
of 327,891 outputs
Outputs of similar age from Nucleic Acids Research
#352
of 388 outputs
Altmetric has tracked 23,007,053 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 26,383 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.6. This one is in the 5th percentile – i.e., 5% 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 327,891 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 12th percentile – i.e., 12% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 388 others from the same source and published within six weeks on either side of this one. This one is in the 4th percentile – i.e., 4% of its contemporaries scored the same or lower than it.