↓ Skip to main content

POMO - Plotting Omics analysis results for Multiple Organisms

Overview of attention for article published in BMC Genomics, December 2013
Altmetric Badge

About this Attention Score

  • Good Attention Score compared to outputs of the same age (77th percentile)
  • Good Attention Score compared to outputs of the same age and source (75th percentile)

Mentioned by

twitter
10 X users

Citations

dimensions_citation
3 Dimensions

Readers on

mendeley
50 Mendeley
citeulike
9 CiteULike
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
POMO - Plotting Omics analysis results for Multiple Organisms
Published in
BMC Genomics, December 2013
DOI 10.1186/1471-2164-14-918
Pubmed ID
Authors

Jake Lin, Richard Kreisberg, Aleksi Kallio, Aimée M Dudley, Matti Nykter, Ilya Shmulevich, Patrick May, Reija Autio

Abstract

Systems biology experiments studying different topics and organisms produce thousands of data values across different types of genomic data. Further, data mining analyses are yielding ranked and heterogeneous results and association networks distributed over the entire genome. The visualization of these results is often difficult and standalone web tools allowing for custom inputs and dynamic filtering are limited.

X Demographics

X Demographics

The data shown below were collected from the profiles of 10 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 50 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Luxembourg 3 6%
Australia 1 2%
Denmark 1 2%
Sweden 1 2%
Greece 1 2%
Estonia 1 2%
Unknown 42 84%

Demographic breakdown

Readers by professional status Count As %
Researcher 19 38%
Student > Ph. D. Student 10 20%
Student > Master 4 8%
Student > Bachelor 3 6%
Professor 3 6%
Other 8 16%
Unknown 3 6%
Readers by discipline Count As %
Agricultural and Biological Sciences 28 56%
Computer Science 8 16%
Biochemistry, Genetics and Molecular Biology 5 10%
Engineering 2 4%
Immunology and Microbiology 1 2%
Other 2 4%
Unknown 4 8%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 6. 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 January 2014.
All research outputs
#6,571,725
of 25,374,647 outputs
Outputs from BMC Genomics
#2,572
of 11,244 outputs
Outputs of similar age
#70,849
of 320,869 outputs
Outputs of similar age from BMC Genomics
#53
of 218 outputs
Altmetric has tracked 25,374,647 research outputs across all sources so far. This one has received more attention than most of these and is in the 74th percentile.
So far Altmetric has tracked 11,244 research outputs from this source. They receive a mean Attention Score of 4.8. This one has done well, scoring higher than 76% 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 320,869 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 77% of its contemporaries.
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 has done well, scoring higher than 75% of its contemporaries.