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Integrating biological data – the Distributed Annotation System

Overview of attention for article published in BMC Bioinformatics, July 2008
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About this Attention Score

  • Good Attention Score compared to outputs of the same age (66th percentile)
  • Good Attention Score compared to outputs of the same age and source (70th percentile)

Mentioned by

wikipedia
1 Wikipedia page

Citations

dimensions_citation
80 Dimensions

Readers on

mendeley
85 Mendeley
citeulike
12 CiteULike
connotea
2 Connotea
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Title
Integrating biological data – the Distributed Annotation System
Published in
BMC Bioinformatics, July 2008
DOI 10.1186/1471-2105-9-s8-s3
Pubmed ID
Authors

Andrew M Jenkinson, Mario Albrecht, Ewan Birney, Hagen Blankenburg, Thomas Down, Robert D Finn, Henning Hermjakob, Tim JP Hubbard, Rafael C Jimenez, Philip Jones, Andreas Kähäri, Eugene Kulesha, José R Macías, Gabrielle A Reeves, Andreas Prlić

Abstract

The Distributed Annotation System (DAS) is a widely adopted protocol for dynamically integrating a wide range of biological data from geographically diverse sources. DAS continues to expand its applicability and evolve in response to new challenges facing integrative bioinformatics.

Mendeley readers

The data shown below were compiled from readership statistics for 85 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 5 6%
Spain 4 5%
Germany 4 5%
Brazil 2 2%
Italy 2 2%
United States 2 2%
Portugal 1 1%
Iceland 1 1%
Sweden 1 1%
Other 2 2%
Unknown 61 72%

Demographic breakdown

Readers by professional status Count As %
Researcher 35 41%
Student > Ph. D. Student 17 20%
Other 8 9%
Student > Master 8 9%
Professor > Associate Professor 6 7%
Other 11 13%
Readers by discipline Count As %
Agricultural and Biological Sciences 48 56%
Computer Science 26 31%
Medicine and Dentistry 2 2%
Mathematics 2 2%
Biochemistry, Genetics and Molecular Biology 2 2%
Other 5 6%

Attention Score in Context

This research output has an Altmetric Attention Score of 3. 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 09 November 2008.
All research outputs
#3,577,530
of 12,373,386 outputs
Outputs from BMC Bioinformatics
#1,717
of 4,576 outputs
Outputs of similar age
#78,093
of 264,994 outputs
Outputs of similar age from BMC Bioinformatics
#26
of 97 outputs
Altmetric has tracked 12,373,386 research outputs across all sources so far. This one is in the 49th percentile – i.e., 49% of other outputs scored the same or lower than it.
So far Altmetric has tracked 4,576 research outputs from this source. They receive a mean Attention Score of 4.9. This one has gotten more attention than average, scoring higher than 53% 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 264,994 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 66% of its contemporaries.
We're also able to compare this research output to 97 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 70% of its contemporaries.