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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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Mentioned by

twitter
1 tweeter

Citations

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18 Dimensions

Readers on

mendeley
20 Mendeley
citeulike
2 CiteULike
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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.

Twitter Demographics

The data shown below were collected from the profile of 1 tweeter who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 20 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 20 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 10 50%
Student > Bachelor 3 15%
Student > Ph. D. Student 2 10%
Student > Master 2 10%
Other 1 5%
Other 2 10%
Readers by discipline Count As %
Agricultural and Biological Sciences 4 20%
Computer Science 4 20%
Medicine and Dentistry 3 15%
Engineering 2 10%
Biochemistry, Genetics and Molecular Biology 2 10%
Other 4 20%
Unknown 1 5%

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
#9,659,742
of 12,077,989 outputs
Outputs from Nucleic Acids Research
#18,149
of 20,279 outputs
Outputs of similar age
#206,606
of 284,698 outputs
Outputs of similar age from Nucleic Acids Research
#262
of 317 outputs
Altmetric has tracked 12,077,989 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 20,279 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.0. This one is in the 6th percentile – i.e., 6% 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 284,698 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 16th percentile – i.e., 16% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 317 others from the same source and published within six weeks on either side of this one. This one is in the 8th percentile – i.e., 8% of its contemporaries scored the same or lower than it.