↓ Skip to main content

Bioinformatic Challenges of Big Data in Non-Coding RNA Research

Overview of attention for article published in Frontiers in Genetics, January 2012
Altmetric Badge

About this Attention Score

  • Good Attention Score compared to outputs of the same age (72nd percentile)
  • Good Attention Score compared to outputs of the same age and source (71st percentile)

Mentioned by

twitter
5 X users
peer_reviews
1 peer review site

Citations

dimensions_citation
8 Dimensions

Readers on

mendeley
42 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
Bioinformatic Challenges of Big Data in Non-Coding RNA Research
Published in
Frontiers in Genetics, January 2012
DOI 10.3389/fgene.2012.00178
Pubmed ID
Authors

Christina H. Liu, Da-Yu Wu, Jonathan D. Pollock

Timeline

Login to access the full chart related to this output.

If you don’t have an account, click here to discover Explorer

X Demographics

X Demographics

The data shown below were collected from the profiles of 5 X users who shared this research output. Click here to find out more about how the information was compiled.
As of 1 July 2024, you may notice a temporary increase in the numbers of X profiles with Unknown location. Click here to learn more.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 42 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Colombia 1 2%
Sweden 1 2%
Denmark 1 2%
Spain 1 2%
United States 1 2%
Unknown 37 88%

Demographic breakdown

Readers by professional status Count As %
Researcher 15 36%
Student > Ph. D. Student 7 17%
Student > Master 6 14%
Professor 4 10%
Student > Doctoral Student 3 7%
Other 4 10%
Unknown 3 7%
Readers by discipline Count As %
Agricultural and Biological Sciences 19 45%
Computer Science 11 26%
Biochemistry, Genetics and Molecular Biology 5 12%
Medicine and Dentistry 2 5%
Immunology and Microbiology 1 2%
Other 1 2%
Unknown 3 7%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 4. 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 30 December 2012.
All research outputs
#7,106,796
of 22,675,759 outputs
Outputs from Frontiers in Genetics
#2,233
of 11,737 outputs
Outputs of similar age
#67,471
of 244,088 outputs
Outputs of similar age from Frontiers in Genetics
#70
of 255 outputs
Altmetric has tracked 22,675,759 research outputs across all sources so far. This one has received more attention than most of these and is in the 68th percentile.
So far Altmetric has tracked 11,737 research outputs from this source. They receive a mean Attention Score of 3.7. This one has done well, scoring higher than 80% 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 244,088 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 72% of its contemporaries.
We're also able to compare this research output to 255 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 71% of its contemporaries.