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MAKER2: an annotation pipeline and genome-database management tool for second-generation genome projects

Overview of attention for article published in BMC Bioinformatics, December 2011
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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 (94th percentile)
  • High Attention Score compared to outputs of the same age and source (90th percentile)

Mentioned by

news
1 news outlet
twitter
16 X users

Citations

dimensions_citation
1628 Dimensions

Readers on

mendeley
1147 Mendeley
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12 CiteULike
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Title
MAKER2: an annotation pipeline and genome-database management tool for second-generation genome projects
Published in
BMC Bioinformatics, December 2011
DOI 10.1186/1471-2105-12-491
Pubmed ID
Authors

Carson Holt, Mark Yandell

Abstract

Second-generation sequencing technologies are precipitating major shifts with regards to what kinds of genomes are being sequenced and how they are annotated. While the first generation of genome projects focused on well-studied model organisms, many of today's projects involve exotic organisms whose genomes are largely terra incognita. This complicates their annotation, because unlike first-generation projects, there are no pre-existing 'gold-standard' gene-models with which to train gene-finders. Improvements in genome assembly and the wide availability of mRNA-seq data are also creating opportunities to update and re-annotate previously published genome annotations. Today's genome projects are thus in need of new genome annotation tools that can meet the challenges and opportunities presented by second-generation sequencing technologies.

X Demographics

X Demographics

The data shown below were collected from the profiles of 16 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 1,147 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 19 2%
United Kingdom 7 <1%
Brazil 7 <1%
Sweden 5 <1%
Netherlands 4 <1%
Germany 4 <1%
Switzerland 3 <1%
Norway 3 <1%
Australia 3 <1%
Other 17 1%
Unknown 1075 94%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 282 25%
Researcher 213 19%
Student > Master 139 12%
Student > Bachelor 95 8%
Other 58 5%
Other 185 16%
Unknown 175 15%
Readers by discipline Count As %
Agricultural and Biological Sciences 532 46%
Biochemistry, Genetics and Molecular Biology 261 23%
Computer Science 44 4%
Engineering 18 2%
Immunology and Microbiology 16 1%
Other 71 6%
Unknown 205 18%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 18. 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 12 June 2022.
All research outputs
#1,761,534
of 23,023,224 outputs
Outputs from BMC Bioinformatics
#407
of 7,316 outputs
Outputs of similar age
#13,260
of 244,586 outputs
Outputs of similar age from BMC Bioinformatics
#11
of 100 outputs
Altmetric has tracked 23,023,224 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 92nd percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 7,316 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.4. This one has done particularly well, scoring higher than 94% 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 244,586 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 94% of its contemporaries.
We're also able to compare this research output to 100 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 90% of its contemporaries.