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Integration of small RNAs and transcriptome sequencing uncovers a complex regulatory network during vernalization and heading stages of orchardgrass (Dactylis glomerata L.)

Overview of attention for article published in BMC Genomics, October 2018
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  • Average Attention Score compared to outputs of the same age and source

Mentioned by

twitter
4 X users

Citations

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16 Dimensions

Readers on

mendeley
12 Mendeley
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Title
Integration of small RNAs and transcriptome sequencing uncovers a complex regulatory network during vernalization and heading stages of orchardgrass (Dactylis glomerata L.)
Published in
BMC Genomics, October 2018
DOI 10.1186/s12864-018-5104-0
Pubmed ID
Authors

Guangyan Feng, Lei Xu, Jianping Wang, Gang Nie, Bradley Shaun Bushman, Wengang Xie, Haidong Yan, Zhongfu Yang, Hao Guan, Linkai Huang, Xinquan Zhang

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

Geographical breakdown

Country Count As %
Unknown 12 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 3 25%
Professor > Associate Professor 2 17%
Student > Bachelor 1 8%
Student > Ph. D. Student 1 8%
Other 1 8%
Other 0 0%
Unknown 4 33%
Readers by discipline Count As %
Agricultural and Biological Sciences 4 33%
Medicine and Dentistry 2 17%
Biochemistry, Genetics and Molecular Biology 1 8%
Unknown 5 42%
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 15 December 2018.
All research outputs
#15,020,054
of 23,105,443 outputs
Outputs from BMC Genomics
#6,177
of 10,709 outputs
Outputs of similar age
#203,861
of 344,075 outputs
Outputs of similar age from BMC Genomics
#94
of 184 outputs
Altmetric has tracked 23,105,443 research outputs across all sources so far. This one is in the 32nd percentile – i.e., 32% of other outputs scored the same or lower than it.
So far Altmetric has tracked 10,709 research outputs from this source. They receive a mean Attention Score of 4.7. This one is in the 37th percentile – i.e., 37% 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 344,075 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 37th percentile – i.e., 37% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 184 others from the same source and published within six weeks on either side of this one. This one is in the 45th percentile – i.e., 45% of its contemporaries scored the same or lower than it.