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The RAST Server: Rapid Annotations using Subsystems Technology

Overview of attention for article published in BMC Genomics, February 2008
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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 (97th percentile)
  • High Attention Score compared to outputs of the same age and source (95th percentile)

Mentioned by

news
1 news outlet
blogs
1 blog
twitter
2 X users
patent
50 patents
wikipedia
4 Wikipedia pages
f1000
1 research highlight platform

Citations

dimensions_citation
9483 Dimensions

Readers on

mendeley
4629 Mendeley
citeulike
30 CiteULike
connotea
1 Connotea
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Title
The RAST Server: Rapid Annotations using Subsystems Technology
Published in
BMC Genomics, February 2008
DOI 10.1186/1471-2164-9-75
Pubmed ID
Authors

Ramy K Aziz, Daniela Bartels, Aaron A Best, Matthew DeJongh, Terrence Disz, Robert A Edwards, Kevin Formsma, Svetlana Gerdes, Elizabeth M Glass, Michael Kubal, Folker Meyer, Gary J Olsen, Robert Olson, Andrei L Osterman, Ross A Overbeek, Leslie K McNeil, Daniel Paarmann, Tobias Paczian, Bruce Parrello, Gordon D Pusch, Claudia Reich, Rick Stevens, Olga Vassieva, Veronika Vonstein, Andreas Wilke, Olga Zagnitko

X Demographics

X Demographics

The data shown below were collected from the profiles of 2 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 4,629 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 48 1%
United Kingdom 22 <1%
Brazil 20 <1%
Denmark 11 <1%
Germany 10 <1%
France 9 <1%
Spain 7 <1%
Portugal 7 <1%
India 6 <1%
Other 62 1%
Unknown 4427 96%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 1035 22%
Researcher 727 16%
Student > Master 641 14%
Student > Bachelor 480 10%
Student > Doctoral Student 301 7%
Other 593 13%
Unknown 852 18%
Readers by discipline Count As %
Agricultural and Biological Sciences 1665 36%
Biochemistry, Genetics and Molecular Biology 964 21%
Immunology and Microbiology 311 7%
Environmental Science 143 3%
Medicine and Dentistry 96 2%
Other 446 10%
Unknown 1004 22%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 32. 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 April 2024.
All research outputs
#1,273,880
of 25,837,817 outputs
Outputs from BMC Genomics
#202
of 11,367 outputs
Outputs of similar age
#3,900
of 175,615 outputs
Outputs of similar age from BMC Genomics
#2
of 41 outputs
Altmetric has tracked 25,837,817 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 94th percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 11,367 research outputs from this source. They receive a mean Attention Score of 4.9. This one has done particularly well, scoring higher than 97% 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 175,615 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 97% of its contemporaries.
We're also able to compare this research output to 41 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.