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ImmunoDataAnalyzer: a bioinformatics pipeline for processing barcoded and UMI tagged immunological NGS data

Overview of attention for article published in BMC Bioinformatics, January 2022
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About this Attention Score

  • Above-average Attention Score compared to outputs of the same age (56th percentile)
  • Average Attention Score compared to outputs of the same age and source

Mentioned by

twitter
6 X users

Citations

dimensions_citation
1 Dimensions

Readers on

mendeley
26 Mendeley
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Title
ImmunoDataAnalyzer: a bioinformatics pipeline for processing barcoded and UMI tagged immunological NGS data
Published in
BMC Bioinformatics, January 2022
DOI 10.1186/s12859-021-04535-4
Pubmed ID
Authors

Julia Vetter, Susanne Schaller, Andreas Heinzel, Constantin Aschauer, Roman Reindl-Schwaighofer, Kira Jelencsics, Karin Hu, Rainer Oberbauer, Stephan M. Winkler

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

Geographical breakdown

Country Count As %
Unknown 26 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 6 23%
Professor 2 8%
Student > Master 2 8%
Student > Ph. D. Student 2 8%
Unspecified 1 4%
Other 0 0%
Unknown 13 50%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 3 12%
Immunology and Microbiology 3 12%
Agricultural and Biological Sciences 2 8%
Unspecified 1 4%
Linguistics 1 4%
Other 2 8%
Unknown 14 54%
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 11 January 2022.
All research outputs
#14,329,035
of 24,458,924 outputs
Outputs from BMC Bioinformatics
#4,142
of 7,535 outputs
Outputs of similar age
#220,161
of 511,581 outputs
Outputs of similar age from BMC Bioinformatics
#76
of 144 outputs
Altmetric has tracked 24,458,924 research outputs across all sources so far. This one is in the 40th percentile – i.e., 40% of other outputs scored the same or lower than it.
So far Altmetric has tracked 7,535 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 42nd percentile – i.e., 42% 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 511,581 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 56% of its contemporaries.
We're also able to compare this research output to 144 others from the same source and published within six weeks on either side of this one. This one is in the 43rd percentile – i.e., 43% of its contemporaries scored the same or lower than it.