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The Protein Model Portal

Overview of attention for article published in Journal of Structural and Functional Genomics, November 2008
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About this Attention Score

  • Among the highest-scoring outputs from this source (#26 of 107)

Mentioned by

wikipedia
1 Wikipedia page

Citations

dimensions_citation
124 Dimensions

Readers on

mendeley
135 Mendeley
citeulike
2 CiteULike
connotea
2 Connotea
Title
The Protein Model Portal
Published in
Journal of Structural and Functional Genomics, November 2008
DOI 10.1007/s10969-008-9048-5
Pubmed ID
Authors

Konstantin Arnold, Florian Kiefer, Jürgen Kopp, James N. D. Battey, Michael Podvinec, John D. Westbrook, Helen M. Berman, Lorenza Bordoli, Torsten Schwede

Abstract

Structural Genomics has been successful in determining the structures of many unique proteins in a high throughput manner. Still, the number of known protein sequences is much larger than the number of experimentally solved protein structures. Homology (or comparative) modeling methods make use of experimental protein structures to build models for evolutionary related proteins. Thereby, experimental structure determination efforts and homology modeling complement each other in the exploration of the protein structure space. One of the challenges in using model information effectively has been to access all models available for a specific protein in heterogeneous formats at different sites using various incompatible accession code systems. Often, structure models for hundreds of proteins can be derived from a given experimentally determined structure, using a variety of established methods. This has been done by all of the PSI centers, and by various independent modeling groups. The goal of the Protein Model Portal (PMP) is to provide a single portal which gives access to the various models that can be leveraged from PSI targets and other experimental protein structures. A single interface allows all existing pre-computed models across these various sites to be queried simultaneously, and provides links to interactive services for template selection, target-template alignment, model building, and quality assessment. The current release of the portal consists of 7.6 million model structures provided by different partner resources (CSMP, JCSG, MCSG, NESG, NYSGXRC, JCMM, ModBase, SWISS-MODEL Repository). The PMP is available at http://www.proteinmodelportal.org and from the PSI Structural Genomics Knowledgebase.

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 135 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Germany 3 2%
Switzerland 2 1%
Canada 2 1%
France 1 <1%
United Kingdom 1 <1%
Russia 1 <1%
Spain 1 <1%
United States 1 <1%
Unknown 123 91%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 27 20%
Researcher 27 20%
Student > Master 16 12%
Student > Bachelor 11 8%
Professor 9 7%
Other 31 23%
Unknown 14 10%
Readers by discipline Count As %
Agricultural and Biological Sciences 54 40%
Biochemistry, Genetics and Molecular Biology 28 21%
Chemistry 10 7%
Computer Science 9 7%
Pharmacology, Toxicology and Pharmaceutical Science 6 4%
Other 12 9%
Unknown 16 12%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 3. 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 14 November 2014.
All research outputs
#7,454,951
of 22,790,780 outputs
Outputs from Journal of Structural and Functional Genomics
#26
of 107 outputs
Outputs of similar age
#47,567
of 165,195 outputs
Outputs of similar age from Journal of Structural and Functional Genomics
#1
of 3 outputs
Altmetric has tracked 22,790,780 research outputs across all sources so far. This one is in the 44th percentile – i.e., 44% of other outputs scored the same or lower than it.
So far Altmetric has tracked 107 research outputs from this source. They receive a mean Attention Score of 3.3. This one is in the 31st percentile – i.e., 31% 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 165,195 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 19th percentile – i.e., 19% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 3 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