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Computational prediction of MicroRNAs targeting GABA receptors and experimental verification of miR-181, miR-216 and miR-203 targets in GABA-A receptor

Overview of attention for article published in BMC Research Notes, February 2012
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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 (67th percentile)

Mentioned by

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1 X user
wikipedia
1 Wikipedia page

Citations

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46 Dimensions

Readers on

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45 Mendeley
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Title
Computational prediction of MicroRNAs targeting GABA receptors and experimental verification of miR-181, miR-216 and miR-203 targets in GABA-A receptor
Published in
BMC Research Notes, February 2012
DOI 10.1186/1756-0500-5-91
Pubmed ID
Authors

Chunling Zhao, Chaoqun Huang, Tingting Weng, Xiao Xiao, Hong Ma, Lin Liu

Abstract

GABA receptors are well known as the inhibitory receptors in the central nervous system and are also found in peripheral tissues. We have previously shown that GABA receptors are involved in lung development and fluid homeostasis. However, the microRNAs that regulate GABA receptors have not yet been identified.

X Demographics

X Demographics

The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 45 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Chile 1 2%
United States 1 2%
Brazil 1 2%
Unknown 42 93%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 10 22%
Researcher 10 22%
Student > Master 6 13%
Professor > Associate Professor 3 7%
Student > Bachelor 3 7%
Other 7 16%
Unknown 6 13%
Readers by discipline Count As %
Agricultural and Biological Sciences 18 40%
Biochemistry, Genetics and Molecular Biology 6 13%
Neuroscience 4 9%
Medicine and Dentistry 4 9%
Chemistry 2 4%
Other 3 7%
Unknown 8 18%
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 09 July 2012.
All research outputs
#6,911,493
of 22,663,150 outputs
Outputs from BMC Research Notes
#1,097
of 4,248 outputs
Outputs of similar age
#65,000
of 247,745 outputs
Outputs of similar age from BMC Research Notes
#23
of 80 outputs
Altmetric has tracked 22,663,150 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 4,248 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.5. This one has gotten more attention than average, scoring higher than 73% 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 247,745 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 80 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 67% of its contemporaries.