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OncomiRdbB: a comprehensive database of microRNAs and their targets in breast cancer

Overview of attention for article published in BMC Bioinformatics, January 2014
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About this Attention Score

  • Above-average Attention Score compared to outputs of the same age (56th percentile)
  • Above-average Attention Score compared to outputs of the same age and source (54th percentile)

Mentioned by

twitter
4 tweeters
facebook
2 Facebook pages

Citations

dimensions_citation
20 Dimensions

Readers on

mendeley
66 Mendeley
citeulike
4 CiteULike
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Title
OncomiRdbB: a comprehensive database of microRNAs and their targets in breast cancer
Published in
BMC Bioinformatics, January 2014
DOI 10.1186/1471-2105-15-15
Pubmed ID
Authors

Rimpi Khurana, Vinod Verma, Abdul Rawoof, Shrish Tiwari, Rekha A Nair, Ganesh Mahidhara, Mohammed M Idris, Alan R Clarke, Lekha Kumar

Abstract

Given the estimate that 30% of our genes are controlled by microRNAs, it is essential that we understand the precise relationship between microRNAs and their targets. OncomiRs are microRNAs (miRNAs) that have been frequently shown to be deregulated in cancer. However, although several oncomiRs have been identified and characterized, there is as yet no comprehensive compilation of this data which has rendered it underutilized by cancer biologists. There is therefore an unmet need in generating bioinformatic platforms to speed the identification of novel therapeutic targets.

Twitter Demographics

The data shown below were collected from the profiles of 4 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 66 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Denmark 2 3%
India 1 2%
Sweden 1 2%
United Kingdom 1 2%
Belgium 1 2%
Netherlands 1 2%
Unknown 59 89%

Demographic breakdown

Readers by professional status Count As %
Researcher 20 30%
Student > Ph. D. Student 14 21%
Student > Master 9 14%
Other 5 8%
Student > Doctoral Student 3 5%
Other 10 15%
Unknown 5 8%
Readers by discipline Count As %
Agricultural and Biological Sciences 24 36%
Biochemistry, Genetics and Molecular Biology 17 26%
Medicine and Dentistry 10 15%
Computer Science 4 6%
Nursing and Health Professions 2 3%
Other 3 5%
Unknown 6 9%

Attention Score in Context

This research output has an Altmetric Attention Score of 3. 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 March 2014.
All research outputs
#5,992,629
of 18,432,973 outputs
Outputs from BMC Bioinformatics
#2,559
of 6,391 outputs
Outputs of similar age
#102,549
of 323,433 outputs
Outputs of similar age from BMC Bioinformatics
#185
of 422 outputs
Altmetric has tracked 18,432,973 research outputs across all sources so far. This one is in the 46th percentile – i.e., 46% of other outputs scored the same or lower than it.
So far Altmetric has tracked 6,391 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.2. This one has gotten more attention than average, scoring higher than 51% 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 323,433 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 56% of its contemporaries.
We're also able to compare this research output to 422 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 54% of its contemporaries.