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Similarities and differences between variants called with human reference genome HG19 or HG38

Overview of attention for article published in BMC Bioinformatics, March 2019
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (84th percentile)
  • High Attention Score compared to outputs of the same age and source (93rd percentile)

Mentioned by

news
1 news outlet
twitter
7 tweeters
video
1 video uploader

Citations

dimensions_citation
27 Dimensions

Readers on

mendeley
103 Mendeley
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Title
Similarities and differences between variants called with human reference genome HG19 or HG38
Published in
BMC Bioinformatics, March 2019
DOI 10.1186/s12859-019-2620-0
Pubmed ID
Authors

Bohu Pan, Rebecca Kusko, Wenming Xiao, Yuanting Zheng, Zhichao Liu, Chunlin Xiao, Sugunadevi Sakkiah, Wenjing Guo, Ping Gong, Chaoyang Zhang, Weigong Ge, Leming Shi, Weida Tong, Huixiao Hong

Twitter Demographics

The data shown below were collected from the profiles of 7 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 103 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 103 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 24 23%
Researcher 18 17%
Student > Bachelor 13 13%
Student > Master 9 9%
Student > Doctoral Student 4 4%
Other 11 11%
Unknown 24 23%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 40 39%
Agricultural and Biological Sciences 11 11%
Medicine and Dentistry 7 7%
Immunology and Microbiology 5 5%
Computer Science 4 4%
Other 9 9%
Unknown 27 26%

Attention Score in Context

This research output has an Altmetric Attention Score of 14. 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 23 July 2021.
All research outputs
#2,030,247
of 21,349,333 outputs
Outputs from BMC Bioinformatics
#603
of 6,937 outputs
Outputs of similar age
#44,225
of 285,074 outputs
Outputs of similar age from BMC Bioinformatics
#5
of 61 outputs
Altmetric has tracked 21,349,333 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 90th percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 6,937 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 particularly well, scoring higher than 91% 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 285,074 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 84% of its contemporaries.
We're also able to compare this research output to 61 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 93% of its contemporaries.