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A Dynamic Stochastic Model for DNA Replication Initiation in Early Embryos

Overview of attention for article published in PLOS ONE, August 2008
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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 (80th percentile)
  • Above-average Attention Score compared to outputs of the same age and source (58th percentile)

Mentioned by

blogs
1 blog
f1000
1 research highlight platform

Citations

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63 Dimensions

Readers on

mendeley
35 Mendeley
citeulike
1 CiteULike
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Title
A Dynamic Stochastic Model for DNA Replication Initiation in Early Embryos
Published in
PLOS ONE, August 2008
DOI 10.1371/journal.pone.0002919
Pubmed ID
Authors

Arach Goldar, Hélène Labit, Kathrin Marheineke, Olivier Hyrien

Abstract

Eukaryotic cells seem unable to monitor replication completion during normal S phase, yet must ensure a reliable replication completion time. This is an acute problem in early Xenopus embryos since DNA replication origins are located and activated stochastically, leading to the random completion problem. DNA combing, kinetic modelling and other studies using Xenopus egg extracts have suggested that potential origins are much more abundant than actual initiation events and that the time-dependent rate of initiation, I(t), markedly increases through S phase to ensure the rapid completion of unreplicated gaps and a narrow distribution of completion times. However, the molecular mechanism that underlies this increase has remained obscure.

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 35 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Germany 2 6%
Poland 1 3%
France 1 3%
Unknown 31 89%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 12 34%
Researcher 9 26%
Student > Master 4 11%
Professor > Associate Professor 3 9%
Professor 1 3%
Other 3 9%
Unknown 3 9%
Readers by discipline Count As %
Agricultural and Biological Sciences 19 54%
Physics and Astronomy 4 11%
Biochemistry, Genetics and Molecular Biology 3 9%
Engineering 3 9%
Computer Science 2 6%
Other 1 3%
Unknown 3 9%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 7. 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 September 2008.
All research outputs
#4,646,292
of 22,660,862 outputs
Outputs from PLOS ONE
#63,273
of 193,497 outputs
Outputs of similar age
#15,911
of 82,364 outputs
Outputs of similar age from PLOS ONE
#183
of 446 outputs
Altmetric has tracked 22,660,862 research outputs across all sources so far. Compared to these this one has done well and is in the 79th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 193,497 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 15.0. This one has gotten more attention than average, scoring higher than 67% 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 82,364 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 80% of its contemporaries.
We're also able to compare this research output to 446 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 58% of its contemporaries.