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Functional Heatmap: an automated and interactive pattern recognition tool to integrate time with multi-omics assays

Overview of attention for article published in BMC Bioinformatics, February 2019
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About this Attention Score

  • Average Attention Score compared to outputs of the same age
  • Good Attention Score compared to outputs of the same age and source (65th percentile)

Mentioned by

twitter
5 tweeters

Citations

dimensions_citation
2 Dimensions

Readers on

mendeley
18 Mendeley
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Title
Functional Heatmap: an automated and interactive pattern recognition tool to integrate time with multi-omics assays
Published in
BMC Bioinformatics, February 2019
DOI 10.1186/s12859-019-2657-0
Authors

Joshua R. Williams, Ruoting Yang, John L. Clifford, Daniel Watson, Ross Campbell, Derese Getnet, Raina Kumar, Rasha Hammamieh, Marti Jett

Twitter Demographics

The data shown below were collected from the profiles of 5 tweeters who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 18 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 18 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 5 28%
Professor > Associate Professor 3 17%
Researcher 3 17%
Student > Ph. D. Student 2 11%
Student > Bachelor 1 6%
Other 1 6%
Unknown 3 17%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 7 39%
Agricultural and Biological Sciences 4 22%
Computer Science 1 6%
Medicine and Dentistry 1 6%
Engineering 1 6%
Other 0 0%
Unknown 4 22%

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 20 February 2019.
All research outputs
#8,276,622
of 14,360,928 outputs
Outputs from BMC Bioinformatics
#3,236
of 5,387 outputs
Outputs of similar age
#139,529
of 265,395 outputs
Outputs of similar age from BMC Bioinformatics
#20
of 60 outputs
Altmetric has tracked 14,360,928 research outputs across all sources so far. This one is in the 40th percentile – i.e., 40% of other outputs scored the same or lower than it.
So far Altmetric has tracked 5,387 research outputs from this source. They receive a mean Attention Score of 4.9. This one is in the 36th percentile – i.e., 36% 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 265,395 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 44th percentile – i.e., 44% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 60 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 65% of its contemporaries.