↓ Skip to main content

DynaVenn: web-based computation of the most significant overlap between ordered sets

Overview of attention for article published in BMC Bioinformatics, December 2019
Altmetric Badge

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 X users

Citations

dimensions_citation
18 Dimensions

Readers on

mendeley
37 Mendeley
You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output. Click here to find out more.
Title
DynaVenn: web-based computation of the most significant overlap between ordered sets
Published in
BMC Bioinformatics, December 2019
DOI 10.1186/s12859-019-3320-5
Pubmed ID
Authors

Jérémy Amand, Tobias Fehlmann, Christina Backes, Andreas Keller

X Demographics

X Demographics

The data shown below were collected from the profiles of 5 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 37 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 37 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 5 14%
Researcher 5 14%
Student > Master 5 14%
Professor > Associate Professor 3 8%
Student > Bachelor 2 5%
Other 10 27%
Unknown 7 19%
Readers by discipline Count As %
Agricultural and Biological Sciences 7 19%
Biochemistry, Genetics and Molecular Biology 7 19%
Computer Science 3 8%
Unspecified 2 5%
Medicine and Dentistry 2 5%
Other 5 14%
Unknown 11 30%
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 05 March 2021.
All research outputs
#14,270,356
of 23,313,051 outputs
Outputs from BMC Bioinformatics
#4,574
of 7,384 outputs
Outputs of similar age
#237,862
of 458,005 outputs
Outputs of similar age from BMC Bioinformatics
#102
of 218 outputs
Altmetric has tracked 23,313,051 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 7,384 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 34th percentile – i.e., 34% 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 458,005 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 46th percentile – i.e., 46% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 218 others from the same source and published within six weeks on either side of this one. This one is in the 49th percentile – i.e., 49% of its contemporaries scored the same or lower than it.