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Gamete binning: chromosome-level and haplotype-resolved genome assembly enabled by high-throughput single-cell sequencing of gamete genomes

Overview of attention for article published in Genome Biology, December 2020
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About this Attention Score

  • In the top 5% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (94th percentile)
  • Good Attention Score compared to outputs of the same age and source (71st percentile)

Mentioned by

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65 X users

Citations

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52 Dimensions

Readers on

mendeley
89 Mendeley
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Title
Gamete binning: chromosome-level and haplotype-resolved genome assembly enabled by high-throughput single-cell sequencing of gamete genomes
Published in
Genome Biology, December 2020
DOI 10.1186/s13059-020-02235-5
Pubmed ID
Authors

José A. Campoy, Hequan Sun, Manish Goel, Wen-Biao Jiao, Kat Folz-Donahue, Nan Wang, Manuel Rubio, Chang Liu, Christian Kukat, David Ruiz, Bruno Huettel, Korbinian Schneeberger

X Demographics

X Demographics

The data shown below were collected from the profiles of 65 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 89 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 89 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 19 21%
Student > Doctoral Student 12 13%
Student > Ph. D. Student 11 12%
Student > Master 8 9%
Student > Bachelor 6 7%
Other 14 16%
Unknown 19 21%
Readers by discipline Count As %
Agricultural and Biological Sciences 33 37%
Biochemistry, Genetics and Molecular Biology 20 22%
Computer Science 2 2%
Environmental Science 1 1%
Nursing and Health Professions 1 1%
Other 3 3%
Unknown 29 33%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 36. 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 29 June 2022.
All research outputs
#1,146,039
of 25,721,020 outputs
Outputs from Genome Biology
#835
of 4,507 outputs
Outputs of similar age
#31,533
of 528,247 outputs
Outputs of similar age from Genome Biology
#25
of 88 outputs
Altmetric has tracked 25,721,020 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 4,507 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 27.5. This one has done well, scoring higher than 81% 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 528,247 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 94% of its contemporaries.
We're also able to compare this research output to 88 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 71% of its contemporaries.