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HUPAN: a pan-genome analysis pipeline for human genomes

Overview of attention for article published in Genome Biology, July 2019
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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 (98th percentile)
  • High Attention Score compared to outputs of the same age and source (95th percentile)

Mentioned by

news
1 news outlet
twitter
271 X users

Citations

dimensions_citation
63 Dimensions

Readers on

mendeley
122 Mendeley
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Title
HUPAN: a pan-genome analysis pipeline for human genomes
Published in
Genome Biology, July 2019
DOI 10.1186/s13059-019-1751-y
Pubmed ID
Authors

Zhongqu Duan, Yuyang Qiao, Jinyuan Lu, Huimin Lu, Wenmin Zhang, Fazhe Yan, Chen Sun, Zhiqiang Hu, Zhen Zhang, Guichao Li, Hongzhuan Chen, Zhen Xiang, Zhenggang Zhu, Hongyu Zhao, Yingyan Yu, Chaochun Wei

Timeline

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X Demographics

X Demographics

The data shown below were collected from the profiles of 271 X users who shared this research output. Click here to find out more about how the information was compiled.
As of 1 July 2024, you may notice a temporary increase in the numbers of X profiles with Unknown location. Click here to learn more.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 122 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 122 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 20 16%
Student > Ph. D. Student 18 15%
Student > Bachelor 9 7%
Other 9 7%
Student > Master 9 7%
Other 14 11%
Unknown 43 35%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 38 31%
Agricultural and Biological Sciences 22 18%
Computer Science 8 7%
Medicine and Dentistry 2 2%
Social Sciences 2 2%
Other 1 <1%
Unknown 49 40%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 165. 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 01 September 2019.
All research outputs
#265,056
of 26,402,731 outputs
Outputs from Genome Biology
#96
of 4,642 outputs
Outputs of similar age
#4,902
of 361,727 outputs
Outputs of similar age from Genome Biology
#3
of 72 outputs
Altmetric has tracked 26,402,731 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 99th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 4,642 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 27.4. This one has done particularly well, scoring higher than 97% 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 361,727 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 98% of its contemporaries.
We're also able to compare this research output to 72 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 95% of its contemporaries.