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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 (87th percentile)
  • High Attention Score compared to outputs of the same age and source (89th percentile)

Mentioned by

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

Citations

dimensions_citation
6068 Dimensions

Readers on

mendeley
2997 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 2,997 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 21 <1%
Denmark 11 <1%
Germany 10 <1%
France 9 <1%
Portugal 7 <1%
Spain 7 <1%
India 6 <1%
Other 69 2%
Unknown 2784 93%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 815 27%
Researcher 546 18%
Student > Master 473 16%
Student > Bachelor 320 11%
Student > Doctoral Student 216 7%
Other 399 13%
Unknown 228 8%
Readers by discipline Count As %
Agricultural and Biological Sciences 1457 49%
Biochemistry, Genetics and Molecular Biology 568 19%
Immunology and Microbiology 184 6%
Environmental Science 101 3%
Computer Science 78 3%
Other 277 9%
Unknown 332 11%

Attention Score in Context

This research output has an Altmetric Attention Score of 10. 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 10 December 2019.
All research outputs
#1,830,483
of 14,919,926 outputs
Outputs from BMC Genomics
#853
of 8,582 outputs
Outputs of similar age
#1,748,114
of 14,054,648 outputs
Outputs of similar age from BMC Genomics
#853
of 8,582 outputs
Altmetric has tracked 14,919,926 research outputs across all sources so far. Compared to these this one has done well and is in the 87th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 8,582 research outputs from this source. They receive a mean Attention Score of 4.3. This one has done well, scoring higher than 89% 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 14,054,648 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 87% of its contemporaries.
We're also able to compare this research output to 8,582 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 89% of its contemporaries.