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Analysis of long non-coding RNAs in neonatal piglets at different stages of porcine deltacoronavirus infection

Overview of attention for article published in BMC Veterinary Research, April 2019
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Mentioned by

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1 X user

Citations

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4 Dimensions

Readers on

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34 Mendeley
Title
Analysis of long non-coding RNAs in neonatal piglets at different stages of porcine deltacoronavirus infection
Published in
BMC Veterinary Research, April 2019
DOI 10.1186/s12917-019-1862-4
Pubmed ID
Authors

Xiaoyu Tang, Tian Lan, Ruiting Wu, Zhihai Zhou, Yuqi Chen, Yuan Sun, Yaoyao Zheng, Jingyun Ma

X Demographics

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.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 34 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 34 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 5 15%
Student > Bachelor 4 12%
Student > Master 4 12%
Student > Ph. D. Student 4 12%
Other 2 6%
Other 3 9%
Unknown 12 35%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 4 12%
Medicine and Dentistry 4 12%
Agricultural and Biological Sciences 3 9%
Psychology 2 6%
Social Sciences 2 6%
Other 9 26%
Unknown 10 29%
Attention Score in Context

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 23 April 2019.
All research outputs
#20,566,010
of 23,142,049 outputs
Outputs from BMC Veterinary Research
#2,449
of 3,089 outputs
Outputs of similar age
#303,134
of 353,226 outputs
Outputs of similar age from BMC Veterinary Research
#57
of 82 outputs
Altmetric has tracked 23,142,049 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 3,089 research outputs from this source. They receive a mean Attention Score of 3.9. 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 353,226 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 82 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.