↓ Skip to main content

Single sample scoring of molecular phenotypes

Overview of attention for article published in BMC Bioinformatics, November 2018
Altmetric Badge

About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (87th percentile)
  • High Attention Score compared to outputs of the same age and source (92nd percentile)

Mentioned by

blogs
1 blog
twitter
11 X users

Citations

dimensions_citation
302 Dimensions

Readers on

mendeley
203 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
Single sample scoring of molecular phenotypes
Published in
BMC Bioinformatics, November 2018
DOI 10.1186/s12859-018-2435-4
Pubmed ID
Authors

Momeneh Foroutan, Dharmesh D. Bhuva, Ruqian Lyu, Kristy Horan, Joseph Cursons, Melissa J. Davis

X Demographics

X Demographics

The data shown below were collected from the profiles of 11 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 203 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 203 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 41 20%
Student > Ph. D. Student 33 16%
Student > Master 16 8%
Student > Doctoral Student 15 7%
Student > Bachelor 15 7%
Other 19 9%
Unknown 64 32%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 54 27%
Agricultural and Biological Sciences 18 9%
Medicine and Dentistry 16 8%
Computer Science 9 4%
Immunology and Microbiology 7 3%
Other 29 14%
Unknown 70 34%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 17. 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 24 January 2022.
All research outputs
#2,058,978
of 24,640,106 outputs
Outputs from BMC Bioinformatics
#485
of 7,562 outputs
Outputs of similar age
#43,649
of 357,584 outputs
Outputs of similar age from BMC Bioinformatics
#12
of 155 outputs
Altmetric has tracked 24,640,106 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 91st percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 7,562 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.5. This one has done particularly well, scoring higher than 93% 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 357,584 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 87% of its contemporaries.
We're also able to compare this research output to 155 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 92% of its contemporaries.