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The RAST Server: Rapid Annotations using Subsystems Technology

Overview of attention for article published in BMC Genomics, January 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 (82nd percentile)
  • High Attention Score compared to outputs of the same age and source (84th percentile)

Mentioned by

twitter
4 tweeters
wikipedia
2 Wikipedia pages
f1000
1 research highlight platform

Citations

dimensions_citation
5500 Dimensions

Readers on

mendeley
2729 Mendeley
citeulike
30 CiteULike
connotea
1 Connotea
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Title
The RAST Server: Rapid Annotations using Subsystems Technology
Published in
BMC Genomics, January 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

Abstract

The number of prokaryotic genome sequences becoming available is growing steadily and is growing faster than our ability to accurately annotate them.

Twitter Demographics

The data shown below were collected from the profiles of 4 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 2,729 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 51 2%
United Kingdom 22 <1%
Brazil 22 <1%
Denmark 11 <1%
Germany 10 <1%
France 10 <1%
Spain 7 <1%
Portugal 7 <1%
India 6 <1%
Other 69 3%
Unknown 2514 92%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 764 28%
Researcher 506 19%
Student > Master 442 16%
Student > Bachelor 285 10%
Student > Doctoral Student 191 7%
Other 540 20%
Unknown 1 <1%
Readers by discipline Count As %
Agricultural and Biological Sciences 1410 52%
Biochemistry, Genetics and Molecular Biology 506 19%
Unspecified 274 10%
Immunology and Microbiology 144 5%
Environmental Science 90 3%
Other 304 11%
Unknown 1 <1%

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 17 April 2018.
All research outputs
#2,159,120
of 12,813,846 outputs
Outputs from BMC Genomics
#1,186
of 7,534 outputs
Outputs of similar age
#2,086,751
of 12,243,291 outputs
Outputs of similar age from BMC Genomics
#1,186
of 7,534 outputs
Altmetric has tracked 12,813,846 research outputs across all sources so far. Compared to these this one has done well and is in the 83rd percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 7,534 research outputs from this source. They receive a mean Attention Score of 4.3. This one has done well, scoring higher than 84% 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 12,243,291 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 82% of its contemporaries.
We're also able to compare this research output to 7,534 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 84% of its contemporaries.