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Genome-wide identification and characterization of replication origins by deep sequencing

Overview of attention for article published in Genome Biology, April 2012
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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 (84th percentile)
  • Average Attention Score compared to outputs of the same age and source

Mentioned by

twitter
3 X users
patent
2 patents
f1000
1 research highlight platform

Citations

dimensions_citation
88 Dimensions

Readers on

mendeley
132 Mendeley
citeulike
4 CiteULike
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Title
Genome-wide identification and characterization of replication origins by deep sequencing
Published in
Genome Biology, April 2012
DOI 10.1186/gb-2012-13-4-r27
Pubmed ID
Authors

Jia Xu, Yoshimi Yanagisawa, Alexander M Tsankov, Christopher Hart, Keita Aoki, Naveen Kommajosyula, Kathleen E Steinmann, James Bochicchio, Carsten Russ, Aviv Regev, Oliver J Rando, Chad Nusbaum, Hironori Niki, Patrice Milos, Zhiping Weng, Nicholas Rhind

Abstract

DNA replication initiates at distinct origins in eukaryotic genomes, but the genomic features that define these sites are not well understood.

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 132 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 3 2%
United Kingdom 2 2%
Japan 2 2%
Canada 1 <1%
Russia 1 <1%
Germany 1 <1%
Greece 1 <1%
Taiwan 1 <1%
Unknown 120 91%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 37 28%
Researcher 30 23%
Student > Master 13 10%
Professor 8 6%
Professor > Associate Professor 8 6%
Other 22 17%
Unknown 14 11%
Readers by discipline Count As %
Agricultural and Biological Sciences 61 46%
Biochemistry, Genetics and Molecular Biology 42 32%
Computer Science 5 4%
Engineering 2 2%
Immunology and Microbiology 1 <1%
Other 6 5%
Unknown 15 11%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 9. 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 11 July 2017.
All research outputs
#4,261,355
of 25,373,627 outputs
Outputs from Genome Biology
#2,655
of 4,467 outputs
Outputs of similar age
#27,360
of 175,435 outputs
Outputs of similar age from Genome Biology
#21
of 40 outputs
Altmetric has tracked 25,373,627 research outputs across all sources so far. Compared to these this one has done well and is in the 83rd percentile: it's in the top 25% 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 is in the 40th percentile – i.e., 40% of its peers scored the same or lower than it.
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 175,435 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 84% of its contemporaries.
We're also able to compare this research output to 40 others from the same source and published within six weeks on either side of this one. This one is in the 47th percentile – i.e., 47% of its contemporaries scored the same or lower than it.