↓ Skip to main content

funcExplorer: a tool for fast data-driven functional characterisation of high-throughput expression data

Overview of attention for article published in BMC Genomics, 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 (95th percentile)

Mentioned by

news
1 news outlet
twitter
11 tweeters

Citations

dimensions_citation
4 Dimensions

Readers on

mendeley
26 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
funcExplorer: a tool for fast data-driven functional characterisation of high-throughput expression data
Published in
BMC Genomics, November 2018
DOI 10.1186/s12864-018-5176-x
Authors

Liis Kolberg, Ivan Kuzmin, Priit Adler, Jaak Vilo, Hedi Peterson

Twitter Demographics

The data shown below were collected from the profiles of 11 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 26 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 26 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 5 19%
Student > Ph. D. Student 5 19%
Researcher 5 19%
Student > Bachelor 3 12%
Student > Doctoral Student 2 8%
Other 4 15%
Unknown 2 8%
Readers by discipline Count As %
Agricultural and Biological Sciences 9 35%
Biochemistry, Genetics and Molecular Biology 7 27%
Computer Science 2 8%
Business, Management and Accounting 1 4%
Medicine and Dentistry 1 4%
Other 1 4%
Unknown 5 19%

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 01 November 2019.
All research outputs
#1,213,647
of 16,123,272 outputs
Outputs from BMC Genomics
#372
of 8,946 outputs
Outputs of similar age
#40,271
of 317,940 outputs
Outputs of similar age from BMC Genomics
#40
of 802 outputs
Altmetric has tracked 16,123,272 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 92nd percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 8,946 research outputs from this source. They receive a mean Attention Score of 4.3. This one has done particularly well, scoring higher than 95% 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 317,940 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 802 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 95% of its contemporaries.