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Attention Score in Context
Title |
Identification of novel MiRNAs and MiRNA expression profiling during grain development in indica rice
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Published in |
BMC Genomics, June 2012
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DOI | 10.1186/1471-2164-13-264 |
Pubmed ID | |
Authors |
Ying Lan, Ning Su, Yi Shen, Rongzhi Zhang, Fuqing Wu, Zhijun Cheng, Jiulin Wang, Xin Zhang, Xiupin Guo, Cailin Lei, Jie Wang, Ling Jiang, Long Mao, Jianmin Wan |
Abstract |
MicroRNAs (miRNAs) modulate gene expression in different tissues and at diverse developmental stages, including grain development in japonica rice. To identify novel miRNAs in indica rice and to study their expression patterns during the entire grain filling process, small RNAs from all stages of grain development were sequenced and their expression patterns were studied using customized miRNA chips. |
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 77 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
China | 2 | 3% |
Sweden | 1 | 1% |
Sri Lanka | 1 | 1% |
Unknown | 73 | 95% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 23 | 30% |
Researcher | 12 | 16% |
Student > Master | 10 | 13% |
Student > Bachelor | 5 | 6% |
Student > Doctoral Student | 4 | 5% |
Other | 13 | 17% |
Unknown | 10 | 13% |
Readers by discipline | Count | As % |
---|---|---|
Agricultural and Biological Sciences | 43 | 56% |
Biochemistry, Genetics and Molecular Biology | 13 | 17% |
Computer Science | 2 | 3% |
Nursing and Health Professions | 1 | 1% |
Arts and Humanities | 1 | 1% |
Other | 2 | 3% |
Unknown | 15 | 19% |
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 21 June 2012.
All research outputs
#20,159,700
of 22,668,244 outputs
Outputs from BMC Genomics
#9,240
of 10,614 outputs
Outputs of similar age
#147,885
of 164,033 outputs
Outputs of similar age from BMC Genomics
#92
of 103 outputs
Altmetric has tracked 22,668,244 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 10,614 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 164,033 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 103 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.