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Genomic data integration and user-defined sample-set extraction for population variant analysis

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

  • Average Attention Score compared to outputs of the same age

Mentioned by

twitter
4 X users

Readers on

mendeley
5 Mendeley
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Title
Genomic data integration and user-defined sample-set extraction for population variant analysis
Published in
BMC Bioinformatics, September 2022
DOI 10.1186/s12859-022-04927-0
Pubmed ID
Authors

Tommaso Alfonsi, Anna Bernasconi, Arif Canakoglu, Marco Masseroli

X Demographics

X Demographics

The data shown below were collected from the profiles of 4 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 5 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 5 100%

Demographic breakdown

Readers by professional status Count As %
Unspecified 1 20%
Student > Ph. D. Student 1 20%
Student > Bachelor 1 20%
Researcher 1 20%
Unknown 1 20%
Readers by discipline Count As %
Unspecified 1 20%
Nursing and Health Professions 1 20%
Computer Science 1 20%
Unknown 2 40%
Attention Score in Context

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 October 2022.
All research outputs
#15,266,175
of 23,466,057 outputs
Outputs from BMC Bioinformatics
#5,134
of 7,393 outputs
Outputs of similar age
#223,215
of 440,107 outputs
Outputs of similar age from BMC Bioinformatics
#104
of 138 outputs
Altmetric has tracked 23,466,057 research outputs across all sources so far. This one is in the 32nd percentile – i.e., 32% of other outputs scored the same or lower than it.
So far Altmetric has tracked 7,393 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.4. This one is in the 26th percentile – i.e., 26% 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 440,107 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 45th percentile – i.e., 45% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 138 others from the same source and published within six weeks on either side of this one. This one is in the 16th percentile – i.e., 16% of its contemporaries scored the same or lower than it.