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EAGER: efficient ancient genome reconstruction

Overview of attention for article published in Genome Biology (Online Edition), March 2016
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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 (89th percentile)

Mentioned by

twitter
33 tweeters
facebook
2 Facebook pages

Citations

dimensions_citation
237 Dimensions

Readers on

mendeley
247 Mendeley
citeulike
1 CiteULike
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Title
EAGER: efficient ancient genome reconstruction
Published in
Genome Biology (Online Edition), March 2016
DOI 10.1186/s13059-016-0918-z
Pubmed ID
Authors

Alexander Peltzer, Günter Jäger, Alexander Herbig, Alexander Seitz, Christian Kniep, Johannes Krause, Kay Nieselt

Abstract

The automated reconstruction of genome sequences in ancient genome analysis is a multifaceted process. Here we introduce EAGER, a time-efficient pipeline, which greatly simplifies the analysis of large-scale genomic data sets. EAGER provides features to preprocess, map, authenticate, and assess the quality of ancient DNA samples. Additionally, EAGER comprises tools to genotype samples to discover, filter, and analyze variants. EAGER encompasses both state-of-the-art tools for each step as well as new complementary tools tailored for ancient DNA data within a single integrated solution in an easily accessible format.

Twitter Demographics

The data shown below were collected from the profiles of 33 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 247 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Germany 3 1%
New Zealand 1 <1%
United Kingdom 1 <1%
Unknown 242 98%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 77 31%
Researcher 32 13%
Student > Master 28 11%
Student > Bachelor 22 9%
Student > Doctoral Student 12 5%
Other 25 10%
Unknown 51 21%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 79 32%
Agricultural and Biological Sciences 70 28%
Computer Science 11 4%
Arts and Humanities 8 3%
Social Sciences 7 3%
Other 14 6%
Unknown 58 23%

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 18 September 2018.
All research outputs
#1,348,840
of 18,005,056 outputs
Outputs from Genome Biology (Online Edition)
#1,330
of 3,686 outputs
Outputs of similar age
#27,714
of 272,453 outputs
Outputs of similar age from Genome Biology (Online Edition)
#1
of 1 outputs
Altmetric has tracked 18,005,056 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 3,686 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 26.7. This one has gotten more attention than average, scoring higher than 63% 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 272,453 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 89% of its contemporaries.
We're also able to compare this research output to 1 others from the same source and published within six weeks on either side of this one. This one has scored higher than all of them