↓ Skip to main content

fagin: synteny-based phylostratigraphy and finer classification of young genes

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

About this Attention Score

  • Good Attention Score compared to outputs of the same age (65th percentile)
  • Above-average Attention Score compared to outputs of the same age and source (57th percentile)

Mentioned by

twitter
8 X users

Citations

dimensions_citation
17 Dimensions

Readers on

mendeley
47 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
fagin: synteny-based phylostratigraphy and finer classification of young genes
Published in
BMC Bioinformatics, August 2019
DOI 10.1186/s12859-019-3023-y
Pubmed ID
Authors

Zebulun Arendsee, Jing Li, Urminder Singh, Priyanka Bhandary, Arun Seetharam, Eve Syrkin Wurtele

X Demographics

X Demographics

The data shown below were collected from the profiles of 8 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 47 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 47 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 12 26%
Researcher 12 26%
Student > Bachelor 7 15%
Student > Master 3 6%
Student > Doctoral Student 1 2%
Other 6 13%
Unknown 6 13%
Readers by discipline Count As %
Agricultural and Biological Sciences 17 36%
Biochemistry, Genetics and Molecular Biology 14 30%
Computer Science 2 4%
Unspecified 1 2%
Mathematics 1 2%
Other 4 9%
Unknown 8 17%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 5. 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 May 2022.
All research outputs
#6,485,459
of 23,154,520 outputs
Outputs from BMC Bioinformatics
#2,483
of 7,341 outputs
Outputs of similar age
#115,131
of 340,346 outputs
Outputs of similar age from BMC Bioinformatics
#41
of 97 outputs
Altmetric has tracked 23,154,520 research outputs across all sources so far. This one has received more attention than most of these and is in the 71st percentile.
So far Altmetric has tracked 7,341 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.4. This one has gotten more attention than average, scoring higher than 65% of its peers.
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 340,346 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 65% of its contemporaries.
We're also able to compare this research output to 97 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 57% of its contemporaries.