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Systematic genome sequence differences among leaf cells within individual trees

Overview of attention for article published in BMC Genomics, February 2014
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About this Attention Score

  • Good Attention Score compared to outputs of the same age (72nd percentile)
  • High Attention Score compared to outputs of the same age and source (80th percentile)

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9 X users

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34 Mendeley
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Title
Systematic genome sequence differences among leaf cells within individual trees
Published in
BMC Genomics, February 2014
DOI 10.1186/1471-2164-15-142
Pubmed ID
Authors

Deepti Diwan, Shun Komazaki, Miho Suzuki, Naoto Nemoto, Takuyo Aita, Akiko Satake, Koichi Nishigaki

Abstract

Even in the age of next-generation sequencing (NGS), it has been unclear whether or not cells within a single organism have systematically distinctive genomes. Resolving this question, one of the most basic biological problems associated with DNA mutation rates, can assist efforts to elucidate essential mechanisms of cancer.

X Demographics

X Demographics

The data shown below were collected from the profiles of 9 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 34 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
New Zealand 1 3%
Netherlands 1 3%
Sweden 1 3%
Norway 1 3%
Unknown 30 88%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 7 21%
Researcher 7 21%
Student > Postgraduate 4 12%
Professor 3 9%
Professor > Associate Professor 3 9%
Other 6 18%
Unknown 4 12%
Readers by discipline Count As %
Agricultural and Biological Sciences 19 56%
Biochemistry, Genetics and Molecular Biology 3 9%
Chemistry 3 9%
Medicine and Dentistry 2 6%
Environmental Science 1 3%
Other 0 0%
Unknown 6 18%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 5. 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 21 February 2014.
All research outputs
#6,547,263
of 23,749,054 outputs
Outputs from BMC Genomics
#2,772
of 10,805 outputs
Outputs of similar age
#61,302
of 225,503 outputs
Outputs of similar age from BMC Genomics
#31
of 154 outputs
Altmetric has tracked 23,749,054 research outputs across all sources so far. This one has received more attention than most of these and is in the 72nd percentile.
So far Altmetric has tracked 10,805 research outputs from this source. They receive a mean Attention Score of 4.7. 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 225,503 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 72% of its contemporaries.
We're also able to compare this research output to 154 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 80% of its contemporaries.