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Gene prediction in eukaryotes with a generalized hidden Markov model that uses hints from external sources

Overview of attention for article published in BMC Bioinformatics, February 2006
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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)
  • Good Attention Score compared to outputs of the same age and source (68th percentile)

Mentioned by

news
1 news outlet

Readers on

mendeley
556 Mendeley
citeulike
11 CiteULike
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Title
Gene prediction in eukaryotes with a generalized hidden Markov model that uses hints from external sources
Published in
BMC Bioinformatics, February 2006
DOI 10.1186/1471-2105-7-62
Pubmed ID
Authors

Mario Stanke, Oliver Schöffmann, Burkhard Morgenstern, Stephan Waack

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 556 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 10 2%
Germany 3 <1%
Netherlands 3 <1%
Sweden 3 <1%
United Kingdom 3 <1%
France 2 <1%
Canada 2 <1%
Spain 2 <1%
Chile 2 <1%
Other 8 1%
Unknown 518 93%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 124 22%
Researcher 112 20%
Student > Master 77 14%
Student > Bachelor 46 8%
Student > Doctoral Student 33 6%
Other 72 13%
Unknown 92 17%
Readers by discipline Count As %
Agricultural and Biological Sciences 262 47%
Biochemistry, Genetics and Molecular Biology 114 21%
Computer Science 24 4%
Environmental Science 10 2%
Chemistry 5 <1%
Other 30 5%
Unknown 111 20%
Attention Score in Context

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 26 January 2023.
All research outputs
#4,978,221
of 25,837,817 outputs
Outputs from BMC Bioinformatics
#1,764
of 7,763 outputs
Outputs of similar age
#19,997
of 175,187 outputs
Outputs of similar age from BMC Bioinformatics
#15
of 58 outputs
Altmetric has tracked 25,837,817 research outputs across all sources so far. Compared to these this one has done well and is in the 80th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 7,763 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.6. This one has done well, scoring higher than 76% 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 175,187 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 58 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 68% of its contemporaries.