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A new massively parallel nanoball sequencing platform for whole exome research

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 (87th percentile)
  • High Attention Score compared to outputs of the same age and source (96th percentile)

Mentioned by

twitter
24 tweeters

Citations

dimensions_citation
13 Dimensions

Readers on

mendeley
20 Mendeley
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Title
A new massively parallel nanoball sequencing platform for whole exome research
Published in
BMC Bioinformatics, March 2019
DOI 10.1186/s12859-019-2751-3
Pubmed ID
Authors

Yu Xu, Zhe Lin, Chong Tang, Yujing Tang, Yue Cai, Hongbin Zhong, Xuebin Wang, Wenwei Zhang, Chongjun Xu, Jingjing Wang, Jian Wang, Huanming Yang, Linfeng Yang, Qiang Gao

Twitter Demographics

The data shown below were collected from the profiles of 24 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 20 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 20 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 5 25%
Student > Master 3 15%
Other 2 10%
Researcher 2 10%
Student > Bachelor 1 5%
Other 1 5%
Unknown 6 30%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 7 35%
Agricultural and Biological Sciences 2 10%
Materials Science 1 5%
Computer Science 1 5%
Medicine and Dentistry 1 5%
Other 2 10%
Unknown 6 30%

Attention Score in Context

This research output has an Altmetric Attention Score of 17. 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 04 April 2019.
All research outputs
#1,047,827
of 14,568,570 outputs
Outputs from BMC Bioinformatics
#290
of 5,450 outputs
Outputs of similar age
#33,052
of 264,861 outputs
Outputs of similar age from BMC Bioinformatics
#2
of 56 outputs
Altmetric has tracked 14,568,570 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 92nd percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 5,450 research outputs from this source. They receive a mean Attention Score of 4.9. This one has done particularly well, scoring higher than 94% 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 264,861 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 87% of its contemporaries.
We're also able to compare this research output to 56 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 96% of its contemporaries.