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X Demographics
Mendeley readers
Attention Score in Context
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
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.
Geographical breakdown
Country | Count | As % |
---|---|---|
Sweden | 1 | 17% |
United Kingdom | 1 | 17% |
Unknown | 4 | 67% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Scientists | 4 | 67% |
Members of the public | 2 | 33% |
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
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.