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The Proteomics Identifications (PRIDE) database and associated tools: status in 2013

Overview of attention for article published in Nucleic Acids Research, November 2012
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (92nd percentile)
  • High Attention Score compared to outputs of the same age and source (93rd percentile)

Mentioned by

blogs
1 blog
twitter
14 tweeters

Citations

dimensions_citation
1507 Dimensions

Readers on

mendeley
430 Mendeley
citeulike
5 CiteULike

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Title
The Proteomics Identifications (PRIDE) database and associated tools: status in 2013
Published in
Nucleic Acids Research, November 2012
DOI 10.1093/nar/gks1262
Pubmed ID
23203882
Authors

Juan Antonio Vizcaíno, Richard G. Côté, Attila Csordas, José A. Dianes, Antonio Fabregat, Joseph M. Foster, Johannes Griss, Emanuele Alpi, Melih Birim, Javier Contell, Gavin O’Kelly, Andreas Schoenegger, David Ovelleiro, Yasset Pérez-Riverol, Florian Reisinger, Daniel Ríos, Rui Wang, Henning Hermjakob

Abstract

The PRoteomics IDEntifications (PRIDE, http://www.ebi.ac.uk/pride) database at the European Bioinformatics Institute is one of the most prominent data repositories of mass spectrometry (MS)-based proteomics data. Here, we summarize recent developments in the PRIDE database and related tools. First, we provide up-to-date statistics in data content, splitting the figures by groups of organisms and species, including peptide and protein identifications, and post-translational modifications. We then describe the tools that are part of the PRIDE submission pipeline, especially the recently developed PRIDE Converter 2 (new submission tool) and PRIDE Inspector (visualization and analysis tool). We also give an update about the integration of PRIDE with other MS proteomics resources in the context of the ProteomeXchange consortium. Finally, we briefly review the quality control efforts that are ongoing at present and outline our future plans.

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Twitter Demographics

The data shown below were collected from the profiles of 14 tweeters 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 430 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Germany 5 1%
United States 4 <1%
United Kingdom 3 <1%
Netherlands 3 <1%
France 2 <1%
Japan 2 <1%
Italy 2 <1%
Belgium 1 <1%
Australia 1 <1%
Other 7 2%
Unknown 400 93%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 122 28%
Researcher 101 23%
Student > Master 49 11%
Student > Bachelor 32 7%
Student > Doctoral Student 28 7%
Other 68 16%
Unknown 30 7%
Readers by discipline Count As %
Agricultural and Biological Sciences 194 45%
Biochemistry, Genetics and Molecular Biology 87 20%
Computer Science 23 5%
Medicine and Dentistry 23 5%
Chemistry 23 5%
Other 34 8%
Unknown 46 11%

Attention Score in Context

This research output has an Altmetric Attention Score of 16. 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 10 July 2016.
All research outputs
#816,005
of 12,028,453 outputs
Outputs from Nucleic Acids Research
#813
of 20,217 outputs
Outputs of similar age
#23,556
of 294,655 outputs
Outputs of similar age from Nucleic Acids Research
#22
of 350 outputs
Altmetric has tracked 12,028,453 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 93rd percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 20,217 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.0. This one has done particularly well, scoring higher than 95% of its peers.
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 294,655 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 92% of its contemporaries.
We're also able to compare this research output to 350 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 93% of its contemporaries.

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