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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 (91st percentile)

Citations

dimensions_citation
8339 Dimensions

Readers on

mendeley
4129 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

Twitter Demographics

The data shown below were collected from the profiles of 3 tweeters 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 4,129 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 49 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 2%
Unknown 3926 95%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 968 23%
Researcher 681 16%
Student > Master 597 14%
Student > Bachelor 435 11%
Student > Doctoral Student 289 7%
Other 540 13%
Unknown 619 15%
Readers by discipline Count As %
Agricultural and Biological Sciences 1622 39%
Biochemistry, Genetics and Molecular Biology 855 21%
Immunology and Microbiology 271 7%
Environmental Science 128 3%
Medicine and Dentistry 91 2%
Other 398 10%
Unknown 764 19%

Attention Score in Context

This research output has an Altmetric Attention Score of 29. 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 September 2022.
All research outputs
#1,115,072
of 22,254,262 outputs
Outputs from BMC Genomics
#206
of 10,513 outputs
Outputs of similar age
#28,648
of 331,823 outputs
Outputs of similar age from BMC Genomics
#1
of 2 outputs
Altmetric has tracked 22,254,262 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 10,513 research outputs from this source. They receive a mean Attention Score of 4.6. 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 331,823 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 91% 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