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Masakari: visualization supported statistical analysis of genome segmentations

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

  • Average Attention Score compared to outputs of the same age
  • Average Attention Score compared to outputs of the same age and source

Mentioned by

twitter
5 tweeters

Readers on

mendeley
3 Mendeley
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Title
Masakari: visualization supported statistical analysis of genome segmentations
Published in
BMC Bioinformatics, October 2020
DOI 10.1186/s12859-020-03761-6
Pubmed ID
Authors

Dirk Zeckzer, Alrik Hausdorf, Nicole Hinzmann, Lydia Müller, Daniel Wiegreffe

Twitter Demographics

The data shown below were collected from the profiles of 5 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 3 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 3 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 2 67%
Student > Ph. D. Student 1 33%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 2 67%
Computer Science 1 33%

Attention Score in Context

This research output has an Altmetric Attention Score of 2. 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 03 November 2020.
All research outputs
#11,583,603
of 19,021,597 outputs
Outputs from BMC Bioinformatics
#4,129
of 6,506 outputs
Outputs of similar age
#175,471
of 323,703 outputs
Outputs of similar age from BMC Bioinformatics
#29
of 50 outputs
Altmetric has tracked 19,021,597 research outputs across all sources so far. This one is in the 37th percentile – i.e., 37% of other outputs scored the same or lower than it.
So far Altmetric has tracked 6,506 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.3. This one is in the 32nd percentile – i.e., 32% 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 323,703 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 42nd percentile – i.e., 42% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 50 others from the same source and published within six weeks on either side of this one. This one is in the 32nd percentile – i.e., 32% of its contemporaries scored the same or lower than it.