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Key challenges for the creation and maintenance of specialist protein resources

Overview of attention for article published in Proteins: Structure, Function, and Bioinformatics, April 2015
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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 (89th percentile)
  • High Attention Score compared to outputs of the same age and source (95th percentile)

Mentioned by

blogs
1 blog
twitter
3 X users
facebook
1 Facebook page
wikipedia
1 Wikipedia page
googleplus
1 Google+ user

Citations

dimensions_citation
13 Dimensions

Readers on

mendeley
54 Mendeley
citeulike
3 CiteULike
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Title
Key challenges for the creation and maintenance of specialist protein resources
Published in
Proteins: Structure, Function, and Bioinformatics, April 2015
DOI 10.1002/prot.24803
Pubmed ID
Authors

Gemma L Holliday, Amos Bairoch, Pantelis G Bagos, Arnaud Chatonnet, David J Craik, Robert D Finn, Bernard Henrissat, David Landsman, Gerard Manning, Nozomi Nagano, Claire O’Donovan, Kim D Pruitt, Neil D Rawlings, Milton Saier, Ramanathan Sowdhamini, Michael Spedding, Narayanaswamy Srinivasan, Gert Vriend, Patricia C Babbitt, Alex Bateman

Abstract

As the volume of data relating to proteins increases, researchers rely more and more on the analysis of published data, thus increasing the importance of good access to these data that vary from the supplemental material of individual papers, all the way to major reference databases with professional staff and long-term funding. Specialist protein resources fill an important middle ground, providing interactive web interfaces to their databases for a focused topic or family of proteins, using specialised approaches that are not feasible in the major reference databases. Many are labours of love, run by a single lab with little or no dedicated funding and there are many challenges to building and maintaining them. This perspective arose from a meeting of several specialist protein resources and major reference databases held at the Wellcome Trust Genome Campus (Cambridge, UK) on the 11th and 12th of August 2014. During this meeting some common key challenges involved in creating and maintaining such resources were discussed, along with various approaches to address them. In laying out these challenges, we aim to inform users about how these issues impact our resources and illustrate ways in which our working together could enhance their accuracy, currency, and overall value. This article is protected by copyright. All rights reserved.

X Demographics

X Demographics

The data shown below were collected from the profiles of 3 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 54 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 1 2%
Netherlands 1 2%
Unknown 52 96%

Demographic breakdown

Readers by professional status Count As %
Researcher 13 24%
Student > Ph. D. Student 7 13%
Student > Master 7 13%
Other 4 7%
Student > Doctoral Student 4 7%
Other 14 26%
Unknown 5 9%
Readers by discipline Count As %
Agricultural and Biological Sciences 19 35%
Biochemistry, Genetics and Molecular Biology 11 20%
Computer Science 4 7%
Medicine and Dentistry 4 7%
Pharmacology, Toxicology and Pharmaceutical Science 2 4%
Other 8 15%
Unknown 6 11%
Attention Score in Context

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 20 March 2017.
All research outputs
#2,310,535
of 25,374,917 outputs
Outputs from Proteins: Structure, Function, and Bioinformatics
#54
of 3,332 outputs
Outputs of similar age
#29,067
of 280,119 outputs
Outputs of similar age from Proteins: Structure, Function, and Bioinformatics
#2
of 43 outputs
Altmetric has tracked 25,374,917 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 90th percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 3,332 research outputs from this source. They receive a mean Attention Score of 3.6. This one has done particularly well, scoring higher than 98% 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 280,119 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 89% of its contemporaries.
We're also able to compare this research output to 43 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 95% of its contemporaries.