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Identifying microRNA targets in different gene regions

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

  • Above-average Attention Score compared to outputs of the same age (54th percentile)
  • Above-average Attention Score compared to outputs of the same age and source (58th percentile)

Mentioned by

patent
1 patent

Citations

dimensions_citation
111 Dimensions

Readers on

mendeley
252 Mendeley
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Title
Identifying microRNA targets in different gene regions
Published in
BMC Bioinformatics, May 2014
DOI 10.1186/1471-2105-15-s7-s4
Pubmed ID
Authors

Wenlong Xu, Anthony San Lucas, Zixing Wang, Yin Liu

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 252 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Colombia 1 <1%
Germany 1 <1%
Brazil 1 <1%
United Kingdom 1 <1%
New Zealand 1 <1%
Spain 1 <1%
Unknown 246 98%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 53 21%
Student > Master 44 17%
Student > Bachelor 27 11%
Student > Doctoral Student 22 9%
Researcher 15 6%
Other 17 7%
Unknown 74 29%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 82 33%
Agricultural and Biological Sciences 40 16%
Medicine and Dentistry 17 7%
Immunology and Microbiology 6 2%
Computer Science 4 2%
Other 19 8%
Unknown 84 33%
Attention Score in Context

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 09 March 2023.
All research outputs
#7,730,207
of 23,505,064 outputs
Outputs from BMC Bioinformatics
#3,078
of 7,400 outputs
Outputs of similar age
#74,549
of 228,271 outputs
Outputs of similar age from BMC Bioinformatics
#59
of 153 outputs
Altmetric has tracked 23,505,064 research outputs across all sources so far. This one is in the 44th percentile – i.e., 44% of other outputs scored the same or lower than it.
So far Altmetric has tracked 7,400 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.4. This one has gotten more attention than average, scoring higher than 50% 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 228,271 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 54% of its contemporaries.
We're also able to compare this research output to 153 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 58% of its contemporaries.