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Attention Score in Context
Title |
Dynamic recruitment of microRNAs to their mRNA targets in the regenerating liver
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Published in |
BMC Genomics, April 2013
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DOI | 10.1186/1471-2164-14-264 |
Pubmed ID | |
Authors |
Jonathan Schug, Lindsay B McKenna, Gabriel Walton, Nicholas Hand, Sarmistha Mukherjee, Kow Essuman, Zhongjie Shi, Yan Gao, Karen Markley, Momo Nakagawa, Vasumathi Kameswaran, Anastassios Vourekas, Joshua R Friedman, Klaus H Kaestner, Linda E Greenbaum |
Abstract |
Validation of physiologic miRNA targets has been met with significant challenges. We employed HITS-CLIP to identify which miRNAs participate in liver regeneration, and to identify their target mRNAs. |
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.
Geographical breakdown
Country | Count | As % |
---|---|---|
France | 1 | 100% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Scientists | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 71 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
United States | 2 | 3% |
Germany | 1 | 1% |
Unknown | 68 | 96% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 25 | 35% |
Researcher | 11 | 15% |
Student > Bachelor | 6 | 8% |
Student > Master | 6 | 8% |
Student > Postgraduate | 5 | 7% |
Other | 10 | 14% |
Unknown | 8 | 11% |
Readers by discipline | Count | As % |
---|---|---|
Agricultural and Biological Sciences | 27 | 38% |
Biochemistry, Genetics and Molecular Biology | 21 | 30% |
Computer Science | 5 | 7% |
Neuroscience | 3 | 4% |
Immunology and Microbiology | 2 | 3% |
Other | 5 | 7% |
Unknown | 8 | 11% |
Attention Score in Context
This research output has an Altmetric Attention Score of 1. 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 18 April 2013.
All research outputs
#20,190,878
of 22,707,247 outputs
Outputs from BMC Genomics
#9,249
of 10,624 outputs
Outputs of similar age
#172,225
of 197,463 outputs
Outputs of similar age from BMC Genomics
#115
of 129 outputs
Altmetric has tracked 22,707,247 research outputs across all sources so far. This one is in the 1st percentile – i.e., 1% of other outputs scored the same or lower than it.
So far Altmetric has tracked 10,624 research outputs from this source. They receive a mean Attention Score of 4.7. This one is in the 1st percentile – i.e., 1% of its peers scored the same or lower than it.
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 197,463 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 129 others from the same source and published within six weeks on either side of this one. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.