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Systematic and benchmarking studies of pipelines for mammal WGBS data in the novel NGS platform

Overview of attention for article published in BMC Bioinformatics, January 2023
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About this Attention Score

  • Above-average Attention Score compared to outputs of the same age (62nd percentile)
  • Good Attention Score compared to outputs of the same age and source (65th percentile)

Mentioned by

twitter
6 X users

Citations

dimensions_citation
1 Dimensions

Readers on

mendeley
15 Mendeley
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Title
Systematic and benchmarking studies of pipelines for mammal WGBS data in the novel NGS platform
Published in
BMC Bioinformatics, January 2023
DOI 10.1186/s12859-023-05163-w
Pubmed ID
Authors

Qun-ting Lin, Wei Yang, Xin Zhang, Qi-gang Li, Yong-feng Liu, Qin Yan, Lei Sun

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 15 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 15 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 2 13%
Student > Bachelor 2 13%
Other 1 7%
Student > Doctoral Student 1 7%
Unknown 9 60%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 2 13%
Agricultural and Biological Sciences 2 13%
Computer Science 1 7%
Psychology 1 7%
Neuroscience 1 7%
Other 0 0%
Unknown 8 53%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 3. 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 19 February 2023.
All research outputs
#14,386,784
of 25,380,192 outputs
Outputs from BMC Bioinformatics
#3,860
of 7,684 outputs
Outputs of similar age
#176,289
of 473,124 outputs
Outputs of similar age from BMC Bioinformatics
#41
of 120 outputs
Altmetric has tracked 25,380,192 research outputs across all sources so far. This one is in the 42nd percentile – i.e., 42% of other outputs scored the same or lower than it.
So far Altmetric has tracked 7,684 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.5. This one is in the 48th percentile – i.e., 48% of its peers scored the same or lower than it.
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 473,124 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 62% of its contemporaries.
We're also able to compare this research output to 120 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 65% of its contemporaries.