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Using whole-genome SNP data to reconstruct a large multi-generation pedigree in apple germplasm

Overview of attention for article published in BMC Plant Biology, January 2020
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About this Attention Score

  • In the top 5% of all research outputs scored by Altmetric
  • Among the highest-scoring outputs from this source (#32 of 3,322)
  • High Attention Score compared to outputs of the same age (93rd percentile)
  • High Attention Score compared to outputs of the same age and source (99th percentile)

Mentioned by

blogs
2 blogs
twitter
20 tweeters
wikipedia
17 Wikipedia pages

Citations

dimensions_citation
59 Dimensions

Readers on

mendeley
70 Mendeley
Summary Blogs Twitter Wikipedia Dimensions citations
Title
Using whole-genome SNP data to reconstruct a large multi-generation pedigree in apple germplasm
Published in
BMC Plant Biology, January 2020
DOI 10.1186/s12870-019-2171-6
Pubmed ID
31898487
Authors

Hélène Muranty, Caroline Denancé, Laurence Feugey, Jean-Luc Crépin, Yves Barbier, Stefano Tartarini, Matthew Ordidge, Michela Troggio, Marc Lateur, Hilde Nybom, Frantisek Paprstein, François Laurens, Charles-Eric Durel

View on publisher site

Twitter Demographics

The data shown below were collected from the profiles of 20 tweeters who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 70 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 70 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 17 24%
Student > Ph. D. Student 14 20%
Student > Master 10 14%
Student > Bachelor 6 9%
Unspecified 4 6%
Other 6 9%
Unknown 13 19%
Readers by discipline Count As %
Agricultural and Biological Sciences 33 47%
Biochemistry, Genetics and Molecular Biology 6 9%
Unspecified 4 6%
Environmental Science 2 3%
Social Sciences 2 3%
Other 7 10%
Unknown 16 23%

Attention Score in Context

This research output has an Altmetric Attention Score of 32. 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 June 2023.
All research outputs
#1,139,199
of 23,881,329 outputs
Outputs from BMC Plant Biology
#32
of 3,322 outputs
Outputs of similar age
#28,675
of 461,328 outputs
Outputs of similar age from BMC Plant Biology
#2
of 119 outputs
Altmetric has tracked 23,881,329 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 95th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 3,322 research outputs from this source. They receive a mean Attention Score of 3.0. This one has done particularly well, scoring higher than 99% 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 461,328 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 93% of its contemporaries.
We're also able to compare this research output to 119 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 99% of its contemporaries.

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