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PMTED: a plant microRNA target expression database

Overview of attention for article published in BMC Bioinformatics, June 2013
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Title
PMTED: a plant microRNA target expression database
Published in
BMC Bioinformatics, June 2013
DOI 10.1186/1471-2105-14-174
Pubmed ID
Authors

Xiuli Sun, Boquan Dong, Lingjie Yin, Rongzhi Zhang, Wei Du, Dongfeng Liu, Nan Shi, Aili Li, Yanchun Liang, Long Mao

Abstract

MicroRNAs (miRNAs) are identified in nearly all plants where they play important roles in development and stress responses by target mRNA cleavage or translation repression. MiRNAs exert their functions by sequence complementation with target genes and hence their targets can be predicted using bioinformatics algorithms. In the past two decades, microarray technology has been employed to study genes involved in important biological processes such as biotic response, abiotic response, and specific tissues and developmental stages, many of which are miRNA targets. Despite their value in assisting research work for plant biologists, miRNA target genes are difficult to access without pre-processing and assistance of necessary analytical and visualization tools because they are embedded in a large body of microarray data that are scattered around in public databases.

X Demographics

X Demographics

The data shown below were collected from the profiles of 4 X users 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 86 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 2 2%
Brazil 1 1%
Uruguay 1 1%
China 1 1%
Argentina 1 1%
Unknown 80 93%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 23 27%
Researcher 17 20%
Student > Master 7 8%
Student > Bachelor 6 7%
Student > Doctoral Student 5 6%
Other 14 16%
Unknown 14 16%
Readers by discipline Count As %
Agricultural and Biological Sciences 44 51%
Biochemistry, Genetics and Molecular Biology 17 20%
Computer Science 3 3%
Engineering 2 2%
Environmental Science 1 1%
Other 1 1%
Unknown 18 21%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 2. 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 05 June 2013.
All research outputs
#14,171,074
of 22,711,645 outputs
Outputs from BMC Bioinformatics
#4,718
of 7,259 outputs
Outputs of similar age
#109,676
of 195,516 outputs
Outputs of similar age from BMC Bioinformatics
#76
of 110 outputs
Altmetric has tracked 22,711,645 research outputs across all sources so far. This one is in the 35th percentile – i.e., 35% of other outputs scored the same or lower than it.
So far Altmetric has tracked 7,259 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.4. This one is in the 30th percentile – i.e., 30% 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 195,516 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 41st percentile – i.e., 41% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 110 others from the same source and published within six weeks on either side of this one. This one is in the 29th percentile – i.e., 29% of its contemporaries scored the same or lower than it.