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Attention Score in Context
Title |
Systematic characterization of small RNAome during zebrafish early developmental stages
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Published in |
BMC Genomics, February 2014
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DOI | 10.1186/1471-2164-15-117 |
Pubmed ID | |
Authors |
Yuangen Yao, Lili Ma, Qiong Jia, Wankun Deng, Zexian Liu, Yuanwei Zhang, Jian Ren, Yu Xue, Haibo Jia, Qing Yang |
Abstract |
During early vertebrate development, various small non-coding RNAs (sRNAs) such as MicroRNAs (miRNAs) and Piwi-interacting RNAs (piRNAs) are dynamically expressed for orchestrating the maternal-to-zygotic transition (MZT). Systematic analysis of expression profiles of zebrafish small RNAome will be greatly helpful for understanding the sRNA regulation during embryonic development. |
X Demographics
The data shown below were collected from the profiles of 2 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
Country | Count | As % |
---|---|---|
France | 1 | 50% |
Unknown | 1 | 50% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Scientists | 2 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 47 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Spain | 1 | 2% |
Italy | 1 | 2% |
Unknown | 45 | 96% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 11 | 23% |
Researcher | 9 | 19% |
Student > Bachelor | 5 | 11% |
Student > Postgraduate | 4 | 9% |
Student > Master | 4 | 9% |
Other | 7 | 15% |
Unknown | 7 | 15% |
Readers by discipline | Count | As % |
---|---|---|
Agricultural and Biological Sciences | 18 | 38% |
Biochemistry, Genetics and Molecular Biology | 11 | 23% |
Computer Science | 3 | 6% |
Pharmacology, Toxicology and Pharmaceutical Science | 1 | 2% |
Environmental Science | 1 | 2% |
Other | 2 | 4% |
Unknown | 11 | 23% |
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 11 February 2014.
All research outputs
#17,712,213
of 22,743,667 outputs
Outputs from BMC Genomics
#7,543
of 10,633 outputs
Outputs of similar age
#223,775
of 311,648 outputs
Outputs of similar age from BMC Genomics
#299
of 448 outputs
Altmetric has tracked 22,743,667 research outputs across all sources so far. This one is in the 19th percentile – i.e., 19% of other outputs scored the same or lower than it.
So far Altmetric has tracked 10,633 research outputs from this source. They receive a mean Attention Score of 4.7. This one is in the 23rd percentile – i.e., 23% 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 311,648 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 25th percentile – i.e., 25% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 448 others from the same source and published within six weeks on either side of this one. This one is in the 24th percentile – i.e., 24% of its contemporaries scored the same or lower than it.