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diArk 2.0 provides detailed analyses of the ever increasing eukaryotic genome sequencing data

Overview of attention for article published in BMC Research Notes, September 2011
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About this Attention Score

  • Good Attention Score compared to outputs of the same age (68th percentile)
  • Good Attention Score compared to outputs of the same age and source (65th percentile)

Mentioned by

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6 X users

Citations

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12 Dimensions

Readers on

mendeley
39 Mendeley
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4 CiteULike
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Title
diArk 2.0 provides detailed analyses of the ever increasing eukaryotic genome sequencing data
Published in
BMC Research Notes, September 2011
DOI 10.1186/1756-0500-4-338
Pubmed ID
Authors

Björn Hammesfahr, Florian Odronitz, Marcel Hellkamp, Martin Kollmar

Abstract

Nowadays, the sequencing of even the largest mammalian genomes has become a question of days with current next-generation sequencing methods. It comes as no surprise that dozens of genome assemblies are released per months now. Since the number of next-generation sequencing machines increases worldwide and new major sequencing plans are announced, a further increase in the speed of releasing genome assemblies is expected. Thus it becomes increasingly important to get an overview as well as detailed information about available sequenced genomes. The different sequencing and assembly methods have specific characteristics that need to be known to evaluate the various genome assemblies before performing subsequent analyses.

X Demographics

X Demographics

The data shown below were collected from the profiles of 6 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 39 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
France 2 5%
United Kingdom 2 5%
Finland 1 3%
New Zealand 1 3%
Spain 1 3%
United States 1 3%
Unknown 31 79%

Demographic breakdown

Readers by professional status Count As %
Researcher 11 28%
Student > Ph. D. Student 8 21%
Professor 6 15%
Student > Master 5 13%
Other 3 8%
Other 5 13%
Unknown 1 3%
Readers by discipline Count As %
Agricultural and Biological Sciences 22 56%
Computer Science 4 10%
Biochemistry, Genetics and Molecular Biology 4 10%
Business, Management and Accounting 1 3%
Mathematics 1 3%
Other 5 13%
Unknown 2 5%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 4. 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 27 September 2011.
All research outputs
#7,260,662
of 25,161,628 outputs
Outputs from BMC Research Notes
#1,094
of 4,495 outputs
Outputs of similar age
#39,136
of 130,843 outputs
Outputs of similar age from BMC Research Notes
#20
of 60 outputs
Altmetric has tracked 25,161,628 research outputs across all sources so far. This one has received more attention than most of these and is in the 69th percentile.
So far Altmetric has tracked 4,495 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.1. This one has gotten more attention than average, scoring higher than 74% 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 130,843 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 68% of its contemporaries.
We're also able to compare this research output to 60 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 65% of its contemporaries.