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Scipio: Using protein sequences to determine the precise exon/intron structures of genes and their orthologs in closely related species

Overview of attention for article published in BMC Bioinformatics, June 2008
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  • Average Attention Score compared to outputs of the same age and source

Mentioned by

twitter
2 tweeters

Citations

dimensions_citation
106 Dimensions

Readers on

mendeley
130 Mendeley
citeulike
6 CiteULike
connotea
3 Connotea
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Title
Scipio: Using protein sequences to determine the precise exon/intron structures of genes and their orthologs in closely related species
Published in
BMC Bioinformatics, June 2008
DOI 10.1186/1471-2105-9-278
Pubmed ID
Authors

Oliver Keller, Florian Odronitz, Mario Stanke, Martin Kollmar, Stephan Waack

Twitter Demographics

The data shown below were collected from the profiles of 2 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 130 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 2 2%
Sweden 2 2%
Germany 1 <1%
France 1 <1%
Norway 1 <1%
Netherlands 1 <1%
Portugal 1 <1%
Czechia 1 <1%
United Kingdom 1 <1%
Other 5 4%
Unknown 114 88%

Demographic breakdown

Readers by professional status Count As %
Researcher 35 27%
Student > Ph. D. Student 32 25%
Student > Master 16 12%
Other 9 7%
Professor > Associate Professor 8 6%
Other 21 16%
Unknown 9 7%
Readers by discipline Count As %
Agricultural and Biological Sciences 73 56%
Biochemistry, Genetics and Molecular Biology 24 18%
Computer Science 10 8%
Engineering 4 3%
Medicine and Dentistry 2 2%
Other 6 5%
Unknown 11 8%

Attention Score in Context

This research output has an Altmetric Attention Score of 2. 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 19 January 2017.
All research outputs
#4,812,316
of 8,938,181 outputs
Outputs from BMC Bioinformatics
#2,621
of 3,849 outputs
Outputs of similar age
#170,709
of 307,014 outputs
Outputs of similar age from BMC Bioinformatics
#88
of 143 outputs
Altmetric has tracked 8,938,181 research outputs across all sources so far. This one is in the 45th percentile – i.e., 45% of other outputs scored the same or lower than it.
So far Altmetric has tracked 3,849 research outputs from this source. They receive a mean Attention Score of 5.0. This one is in the 31st percentile – i.e., 31% of its peers scored the same or lower than it.
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 307,014 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 43rd percentile – i.e., 43% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 143 others from the same source and published within six weeks on either side of this one. This one is in the 38th percentile – i.e., 38% of its contemporaries scored the same or lower than it.