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The Scottish Structural Proteomics Facility: targets, methods and outputs

Overview of attention for article published in Journal of Structural and Functional Genomics, April 2010
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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 (83rd percentile)

Mentioned by

twitter
1 tweeter
patent
1 patent
wikipedia
1 Wikipedia page

Citations

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77 Dimensions

Readers on

mendeley
84 Mendeley
Title
The Scottish Structural Proteomics Facility: targets, methods and outputs
Published in
Journal of Structural and Functional Genomics, April 2010
DOI 10.1007/s10969-010-9090-y
Pubmed ID
Authors

Muse Oke, Lester G. Carter, Kenneth A. Johnson, Huanting Liu, Stephen A. McMahon, Xuan Yan, Melina Kerou, Nadine D. Weikart, Nadia Kadi, Md. Arif Sheikh, Stefan Schmelz, Mark Dorward, Michal Zawadzki, Christopher Cozens, Helen Falconer, Helen Powers, Ian M. Overton, C. A. Johannes van Niekerk, Xu Peng, Prakash Patel, Roger A. Garrett, David Prangishvili, Catherine H. Botting, Peter J. Coote, David T. F. Dryden, Geoffrey J. Barton, Ulrich Schwarz-Linek, Gregory L. Challis, Garry L. Taylor, Malcolm F. White, James H. Naismith

Abstract

The Scottish Structural Proteomics Facility was funded to develop a laboratory scale approach to high throughput structure determination. The effort was successful in that over 40 structures were determined. These structures and the methods harnessed to obtain them are reported here. This report reflects on the value of automation but also on the continued requirement for a high degree of scientific and technical expertise. The efficiency of the process poses challenges to the current paradigm of structural analysis and publication. In the 5 year period we published ten peer-reviewed papers reporting structural data arising from the pipeline. Nevertheless, the number of structures solved exceeded our ability to analyse and publish each new finding. By reporting the experimental details and depositing the structures we hope to maximize the impact of the project by allowing others to follow up the relevant biology.

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

Geographical breakdown

Country Count As %
Spain 1 1%
Germany 1 1%
Japan 1 1%
United States 1 1%
Canada 1 1%
Unknown 79 94%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 31 37%
Researcher 22 26%
Student > Bachelor 10 12%
Student > Master 9 11%
Lecturer 3 4%
Other 9 11%
Readers by discipline Count As %
Agricultural and Biological Sciences 39 46%
Biochemistry, Genetics and Molecular Biology 21 25%
Chemistry 8 10%
Unspecified 8 10%
Computer Science 3 4%
Other 5 6%

Attention Score in Context

This research output has an Altmetric Attention Score of 7. 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 02 October 2018.
All research outputs
#2,406,042
of 13,583,786 outputs
Outputs from Journal of Structural and Functional Genomics
#12
of 95 outputs
Outputs of similar age
#32,554
of 205,311 outputs
Outputs of similar age from Journal of Structural and Functional Genomics
#1
of 2 outputs
Altmetric has tracked 13,583,786 research outputs across all sources so far. Compared to these this one has done well and is in the 82nd percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 95 research outputs from this source. They receive a mean Attention Score of 3.0. This one has done well, scoring higher than 87% 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 205,311 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 83% of its contemporaries.
We're also able to compare this research output to 2 others from the same source and published within six weeks on either side of this one. This one has scored higher than all of them