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Reliable multiplex sequencing with rare index mis-assignment on DNB-based NGS platform

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

  • Good Attention Score compared to outputs of the same age (68th percentile)
  • Good Attention Score compared to outputs of the same age and source (74th percentile)

Mentioned by

twitter
6 X users
patent
1 patent

Citations

dimensions_citation
43 Dimensions

Readers on

mendeley
86 Mendeley
Title
Reliable multiplex sequencing with rare index mis-assignment on DNB-based NGS platform
Published in
BMC Genomics, March 2019
DOI 10.1186/s12864-019-5569-5
Pubmed ID
Authors

Qiaoling Li, Xia Zhao, Wenwei Zhang, Lin Wang, Jingjing Wang, Dongyang Xu, Zhiying Mei, Qiang Liu, Shiyi Du, Zhanqing Li, Xinming Liang, Xiaman Wang, Hanmin Wei, Pengjuan Liu, Jing Zou, Hanjie Shen, Ao Chen, Snezana Drmanac, Jia Sophie Liu, Li Li, Hui Jiang, Yongwei Zhang, Jian Wang, Huanming Yang, Xun Xu, Radoje Drmanac, Yuan Jiang

X Demographics

X Demographics

The data shown below were collected from the profiles of 6 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 86 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 86 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 18 21%
Student > Ph. D. Student 15 17%
Student > Master 13 15%
Student > Bachelor 4 5%
Student > Doctoral Student 3 3%
Other 10 12%
Unknown 23 27%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 27 31%
Agricultural and Biological Sciences 20 23%
Medicine and Dentistry 2 2%
Unspecified 2 2%
Immunology and Microbiology 2 2%
Other 6 7%
Unknown 27 31%
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 18 October 2023.
All research outputs
#6,484,459
of 25,713,737 outputs
Outputs from BMC Genomics
#2,436
of 11,307 outputs
Outputs of similar age
#113,582
of 366,052 outputs
Outputs of similar age from BMC Genomics
#48
of 204 outputs
Altmetric has tracked 25,713,737 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 11,307 research outputs from this source. They receive a mean Attention Score of 4.8. This one has done well, scoring higher than 78% 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 366,052 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 68% of its contemporaries.
We're also able to compare this research output to 204 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 74% of its contemporaries.