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EAGER: efficient ancient genome reconstruction

Overview of attention for article published in Genome Biology, March 2016
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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 (93rd percentile)
  • Good Attention Score compared to outputs of the same age and source (74th percentile)

Mentioned by

news
2 news outlets
twitter
30 X users
facebook
2 Facebook pages

Citations

dimensions_citation
323 Dimensions

Readers on

mendeley
290 Mendeley
citeulike
1 CiteULike
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Title
EAGER: efficient ancient genome reconstruction
Published in
Genome Biology, 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.

X Demographics

X Demographics

The data shown below were collected from the profiles of 30 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 290 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 285 98%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 84 29%
Researcher 37 13%
Student > Master 33 11%
Student > Bachelor 24 8%
Student > Doctoral Student 12 4%
Other 35 12%
Unknown 65 22%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 91 31%
Agricultural and Biological Sciences 73 25%
Computer Science 11 4%
Arts and Humanities 10 3%
Social Sciences 8 3%
Other 21 7%
Unknown 76 26%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 33. 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 15 March 2023.
All research outputs
#1,217,623
of 25,374,917 outputs
Outputs from Genome Biology
#918
of 4,467 outputs
Outputs of similar age
#20,866
of 315,347 outputs
Outputs of similar age from Genome Biology
#20
of 79 outputs
Altmetric has tracked 25,374,917 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 4,467 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 27.6. This one has done well, scoring higher than 79% 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 315,347 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 93% of its contemporaries.
We're also able to compare this research output to 79 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 74% of its contemporaries.