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smsMap: mapping single molecule sequencing reads by locating the alignment starting positions

Overview of attention for article published in BMC Bioinformatics, August 2020
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About this Attention Score

  • Above-average Attention Score compared to outputs of the same age (55th percentile)
  • Average Attention Score compared to outputs of the same age and source

Mentioned by

twitter
8 X users

Readers on

mendeley
14 Mendeley
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Title
smsMap: mapping single molecule sequencing reads by locating the alignment starting positions
Published in
BMC Bioinformatics, August 2020
DOI 10.1186/s12859-020-03698-w
Pubmed ID
Authors

Ze-Gang Wei, Shao-Wu Zhang, Fei Liu

X Demographics

X Demographics

The data shown below were collected from the profiles of 8 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 14 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 14 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 3 21%
Student > Ph. D. Student 1 7%
Professor 1 7%
Student > Master 1 7%
Student > Postgraduate 1 7%
Other 0 0%
Unknown 7 50%
Readers by discipline Count As %
Agricultural and Biological Sciences 3 21%
Biochemistry, Genetics and Molecular Biology 1 7%
Computer Science 1 7%
Nursing and Health Professions 1 7%
Unknown 8 57%
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 07 August 2020.
All research outputs
#7,753,480
of 23,577,761 outputs
Outputs from BMC Bioinformatics
#3,084
of 7,418 outputs
Outputs of similar age
#164,302
of 400,237 outputs
Outputs of similar age from BMC Bioinformatics
#69
of 140 outputs
Altmetric has tracked 23,577,761 research outputs across all sources so far. This one is in the 44th percentile – i.e., 44% of other outputs scored the same or lower than it.
So far Altmetric has tracked 7,418 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 gotten more attention than average, scoring higher than 50% 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 400,237 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 55% of its contemporaries.
We're also able to compare this research output to 140 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 50% of its contemporaries.