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Content discovery and retrieval services at the European Nucleotide Archive

Overview of attention for article published in Nucleic Acids Research, November 2014
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Title
Content discovery and retrieval services at the European Nucleotide Archive
Published in
Nucleic Acids Research, November 2014
DOI 10.1093/nar/gku1129
Pubmed ID
Authors

Nicole Silvester, Blaise Alako, Clara Amid, Ana Cerdeño-Tárraga, Iain Cleland, Richard Gibson, Neil Goodgame, Petra ten Hoopen, Simon Kay, Rasko Leinonen, Weizhong Li, Xin Liu, Rodrigo Lopez, Nima Pakseresht, Swapna Pallreddy, Sheila Plaister, Rajesh Radhakrishnan, Marc Rossello, Alexander Senf, Dmitriy Smirnov, Ana Luisa Toribio, Daniel Vaughan, Vadim Zalunin, Guy Cochrane

Abstract

The European Nucleotide Archive (ENA; http://www.ebi.ac.uk/ena) is Europe's primary resource for nucleotide sequence information. With the growing volume and diversity of public sequencing data comes the need for increased sophistication in data organisation, presentation and search services so as to maximise its discoverability and usability. In response to this, ENA has been introducing and improving checklists for use during submission and expanding its search facilities to provide targeted search results. Here, we give a brief update on ENA content and some major developments undertaken in data submission services during 2014. We then describe in more detail the services we offer for data discovery and retrieval.

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X Demographics

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

Geographical breakdown

Country Count As %
Sweden 1 3%
Germany 1 3%
Unknown 28 93%

Demographic breakdown

Readers by professional status Count As %
Researcher 9 30%
Student > Ph. D. Student 8 27%
Student > Master 3 10%
Other 2 7%
Student > Bachelor 1 3%
Other 4 13%
Unknown 3 10%
Readers by discipline Count As %
Agricultural and Biological Sciences 12 40%
Biochemistry, Genetics and Molecular Biology 8 27%
Computer Science 3 10%
Mathematics 1 3%
Arts and Humanities 1 3%
Other 1 3%
Unknown 4 13%
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 18 November 2014.
All research outputs
#22,759,452
of 25,374,647 outputs
Outputs from Nucleic Acids Research
#26,249
of 27,550 outputs
Outputs of similar age
#314,001
of 367,998 outputs
Outputs of similar age from Nucleic Acids Research
#378
of 407 outputs
Altmetric has tracked 25,374,647 research outputs across all sources so far. This one is in the 1st percentile – i.e., 1% of other outputs scored the same or lower than it.
So far Altmetric has tracked 27,550 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 7.1. This one is in the 1st percentile – i.e., 1% 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 367,998 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 407 others from the same source and published within six weeks on either side of this one. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.