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Prodigal: prokaryotic gene recognition and translation initiation site identification

Overview of attention for article published in BMC Bioinformatics, March 2010
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About this Attention Score

  • In the top 5% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (96th percentile)
  • High Attention Score compared to outputs of the same age and source (98th percentile)

Mentioned by

news
2 news outlets
blogs
1 blog
twitter
3 X users
patent
11 patents
wikipedia
1 Wikipedia page

Citations

dimensions_citation
7846 Dimensions

Readers on

mendeley
3721 Mendeley
citeulike
16 CiteULike
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Title
Prodigal: prokaryotic gene recognition and translation initiation site identification
Published in
BMC Bioinformatics, March 2010
DOI 10.1186/1471-2105-11-119
Pubmed ID
Authors

Doug Hyatt, Gwo-Liang Chen, Philip F LoCascio, Miriam L Land, Frank W Larimer, Loren J Hauser

X Demographics

X Demographics

The data shown below were collected from the profiles of 3 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 3,721 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 23 <1%
Denmark 8 <1%
Germany 7 <1%
Brazil 7 <1%
United Kingdom 6 <1%
France 4 <1%
Portugal 4 <1%
South Africa 3 <1%
Spain 3 <1%
Other 30 <1%
Unknown 3626 97%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 829 22%
Researcher 561 15%
Student > Master 538 14%
Student > Bachelor 394 11%
Student > Doctoral Student 213 6%
Other 428 12%
Unknown 758 20%
Readers by discipline Count As %
Agricultural and Biological Sciences 1091 29%
Biochemistry, Genetics and Molecular Biology 825 22%
Immunology and Microbiology 225 6%
Environmental Science 211 6%
Computer Science 104 3%
Other 377 10%
Unknown 888 24%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 35. 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 20 January 2024.
All research outputs
#1,130,256
of 25,197,939 outputs
Outputs from BMC Bioinformatics
#108
of 7,660 outputs
Outputs of similar age
#3,500
of 99,574 outputs
Outputs of similar age from BMC Bioinformatics
#2
of 57 outputs
Altmetric has tracked 25,197,939 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 95th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 7,660 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.5. This one has done particularly well, scoring higher than 98% 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 99,574 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 96% of its contemporaries.
We're also able to compare this research output to 57 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 98% of its contemporaries.