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Genome-wide identification of vegetative phase transition-associated microRNAs and target predictions using degradome sequencing in Malus hupehensis

Overview of attention for article published in BMC Genomics, December 2014
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  • Average Attention Score compared to outputs of the same age
  • Above-average Attention Score compared to outputs of the same age and source (55th percentile)

Mentioned by

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4 X users
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1 Facebook page

Citations

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63 Dimensions

Readers on

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47 Mendeley
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1 CiteULike
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Title
Genome-wide identification of vegetative phase transition-associated microRNAs and target predictions using degradome sequencing in Malus hupehensis
Published in
BMC Genomics, December 2014
DOI 10.1186/1471-2164-15-1125
Pubmed ID
Authors

Libo Xing, Dong Zhang, Youmei Li, Caiping Zhao, Songwen Zhang, Yawen Shen, Na An, Mingyu Han

Abstract

A long juvenile period between germination and flowering is a common characteristic among fruit trees, including Malus hupehensis (Pamp.) Rehd., which is an apple rootstock widely used in China. microRNAs (miRNAs) play an important role in the regulation of phase transition and reproductive growth processes.

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 47 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 47 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 11 23%
Student > Master 5 11%
Researcher 5 11%
Professor 5 11%
Student > Bachelor 4 9%
Other 5 11%
Unknown 12 26%
Readers by discipline Count As %
Agricultural and Biological Sciences 25 53%
Biochemistry, Genetics and Molecular Biology 4 9%
Nursing and Health Professions 2 4%
Pharmacology, Toxicology and Pharmaceutical Science 1 2%
Medicine and Dentistry 1 2%
Other 1 2%
Unknown 13 28%
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 18 December 2014.
All research outputs
#13,418,483
of 22,774,233 outputs
Outputs from BMC Genomics
#4,991
of 10,642 outputs
Outputs of similar age
#162,579
of 331,253 outputs
Outputs of similar age from BMC Genomics
#101
of 242 outputs
Altmetric has tracked 22,774,233 research outputs across all sources so far. This one is in the 39th percentile – i.e., 39% of other outputs scored the same or lower than it.
So far Altmetric has tracked 10,642 research outputs from this source. They receive a mean Attention Score of 4.7. This one has gotten more attention than average, scoring higher than 50% 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 331,253 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 49th percentile – i.e., 49% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 242 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 55% of its contemporaries.