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Protein structure analysis of mutations causing inheritable diseases. An e-Science approach with life scientist friendly interfaces

Overview of attention for article published in BMC Bioinformatics, November 2010
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Mentioned by

twitter
1 tweeter

Citations

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532 Dimensions

Readers on

mendeley
398 Mendeley
citeulike
1 CiteULike
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Title
Protein structure analysis of mutations causing inheritable diseases. An e-Science approach with life scientist friendly interfaces
Published in
BMC Bioinformatics, November 2010
DOI 10.1186/1471-2105-11-548
Pubmed ID
Authors

Hanka Venselaar, Tim AH te Beek, Remko KP Kuipers, Maarten L Hekkelman, Gert Vriend

Abstract

Many newly detected point mutations are located in protein-coding regions of the human genome. Knowledge of their effects on the protein's 3D structure provides insight into the protein's mechanism, can aid the design of further experiments, and eventually can lead to the development of new medicines and diagnostic tools.

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

Geographical breakdown

Country Count As %
Netherlands 3 <1%
Spain 2 <1%
Germany 2 <1%
United States 2 <1%
Indonesia 1 <1%
Australia 1 <1%
United Kingdom 1 <1%
Nepal 1 <1%
Korea, Republic of 1 <1%
Other 0 0%
Unknown 384 96%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 92 23%
Student > Master 72 18%
Student > Bachelor 58 15%
Researcher 30 8%
Student > Doctoral Student 20 5%
Other 56 14%
Unknown 70 18%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 130 33%
Agricultural and Biological Sciences 96 24%
Medicine and Dentistry 30 8%
Chemistry 13 3%
Immunology and Microbiology 12 3%
Other 34 9%
Unknown 83 21%

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 20 November 2012.
All research outputs
#2,018,094
of 3,627,694 outputs
Outputs from BMC Bioinformatics
#1,588
of 2,289 outputs
Outputs of similar age
#147,003
of 275,013 outputs
Outputs of similar age from BMC Bioinformatics
#79
of 115 outputs
Altmetric has tracked 3,627,694 research outputs across all sources so far. This one is in the 25th percentile – i.e., 25% of other outputs scored the same or lower than it.
So far Altmetric has tracked 2,289 research outputs from this source. They receive a mean Attention Score of 4.3. This one is in the 20th percentile – i.e., 20% 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 275,013 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 28th percentile – i.e., 28% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 115 others from the same source and published within six weeks on either side of this one. This one is in the 17th percentile – i.e., 17% of its contemporaries scored the same or lower than it.