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All-in-one sequencing: an improved library preparation method for cost-effective and high-throughput next-generation sequencing

Overview of attention for article published in Plant Methods, May 2020
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About this Attention Score

  • Above-average Attention Score compared to outputs of the same age (59th percentile)
  • Average Attention Score compared to outputs of the same age and source

Mentioned by

twitter
7 X users

Citations

dimensions_citation
10 Dimensions

Readers on

mendeley
27 Mendeley
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Title
All-in-one sequencing: an improved library preparation method for cost-effective and high-throughput next-generation sequencing
Published in
Plant Methods, May 2020
DOI 10.1186/s13007-020-00615-3
Pubmed ID
Authors

Sheng Zhao, Cuicui Zhang, Jianqiang Mu, Hui Zhang, Wen Yao, Xinhua Ding, Junqiang Ding, Yuxiao Chang

X Demographics

X Demographics

The data shown below were collected from the profiles of 7 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 27 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 27 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 7 26%
Student > Ph. D. Student 4 15%
Other 2 7%
Student > Postgraduate 2 7%
Student > Bachelor 2 7%
Other 3 11%
Unknown 7 26%
Readers by discipline Count As %
Agricultural and Biological Sciences 9 33%
Biochemistry, Genetics and Molecular Biology 6 22%
Business, Management and Accounting 1 4%
Unspecified 1 4%
Immunology and Microbiology 1 4%
Other 1 4%
Unknown 8 30%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 4. 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 12 October 2020.
All research outputs
#7,554,505
of 23,211,181 outputs
Outputs from Plant Methods
#496
of 1,096 outputs
Outputs of similar age
#158,508
of 392,071 outputs
Outputs of similar age from Plant Methods
#29
of 45 outputs
Altmetric has tracked 23,211,181 research outputs across all sources so far. This one has received more attention than most of these and is in the 67th percentile.
So far Altmetric has tracked 1,096 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.4. This one has gotten more attention than average, scoring higher than 53% 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 392,071 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 59% of its contemporaries.
We're also able to compare this research output to 45 others from the same source and published within six weeks on either side of this one. This one is in the 35th percentile – i.e., 35% of its contemporaries scored the same or lower than it.