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Whole genome sequencing of peach (Prunus persica L.) for SNP identification and selection

Overview of attention for article published in BMC Genomics, November 2011
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About this Attention Score

  • Good Attention Score compared to outputs of the same age (78th percentile)
  • Good Attention Score compared to outputs of the same age and source (78th percentile)

Mentioned by

twitter
4 X users
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14 patents
facebook
1 Facebook page

Readers on

mendeley
156 Mendeley
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2 CiteULike
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Article details
Title
Whole genome sequencing of peach (Prunus persica L.) for SNP identification and selection
Published in
BMC Genomics, November 2011
DOI 10.1186/1471-2164-12-569
Pubmed ID
Authors
Abstract

The application of next generation sequencing technologies and bioinformatic scripts to identify high frequency SNPs distributed throughout the peach genome is described. Three peach genomes were sequenced using Roche 454 and Illumina/Solexa technologies to obtain long contigs for alignment to the draft 'Lovell' peach sequence as well as sufficient depth of coverage for 'in silico' SNP discovery.

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Timeline Attention over time Attention Score history
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Activity
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X Demographics

X Demographics

The data shown below were collected from the profiles of 4 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley demographics

Mendeley demographics

The data shown below were compiled from readership statistics for 156 Mendeley readers of this research output. Click here to see the associated Mendeley record.
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Geographical breakdown

Geographical breakdown
Country Count As %
Italy 2 1%
Norway 1 <1%
Netherlands 1 <1%
Mexico 1 <1%
Japan 1 <1%
Israel 1 <1%
United Kingdom 1 <1%
Spain 1 <1%
Czechia 1 <1%
Other 2 1%
Unknown 144 92%

Demographic breakdown

Readers by professional status
Readers by professional status Count As %
Researcher 47 30%
Student > Ph. D. Student 31 20%
Student > Master 17 11%
Professor > Associate Professor 13 8%
Student > Doctoral Student 7 4%
Other 22 14%
Unknown 19 12%
Readers by discipline
Readers by discipline Count As %
Agricultural and Biological Sciences 102 65%
Biochemistry, Genetics and Molecular Biology 20 13%
Environmental Science 3 2%
Earth and Planetary Sciences 2 1%
Business, Management and Accounting 1 <1%
Other 8 5%
Unknown 20 13%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 6. 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 02 August 2022.
All research outputs
#7,636,496
of 30,143,106 outputs
Outputs from BMC Genomics
#3,089
of 12,419 outputs
Outputs of similar age
#57,492
of 268,849 outputs
Outputs of similar age from BMC Genomics
#28
of 132 outputs
Altmetric has tracked 30,143,106 research outputs across all sources so far. This one has received more attention than most of these and is in the 74th percentile.
So far Altmetric has tracked 12,419 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.4. This one has done well, scoring higher than 75% 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 268,849 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 78% of its contemporaries.
We're also able to compare this research output to 132 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 78% of its contemporaries.