↓ Skip to main content

Development of polyclonal antibodies-based serological methods for detection of the rehmannia mosaic virus in field plants

Overview of attention for article published in Frontiers in Sustainable Food Systems, October 2022
Altmetric Badge

About this Attention Score

  • Average Attention Score compared to outputs of the same age
  • Above-average Attention Score compared to outputs of the same age and source (64th percentile)

Mentioned by

twitter
2 X users

Citations

dimensions_citation
3 Dimensions

Readers on

mendeley
4 Mendeley
You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output. Click here to find out more.
Title
Development of polyclonal antibodies-based serological methods for detection of the rehmannia mosaic virus in field plants
Published in
Frontiers in Sustainable Food Systems, October 2022
DOI 10.3389/fsufs.2022.1013470
Authors

Jiahuan Chen, Chenwei Feng, Xiao Guo, Yuchen Zhou, Tianxiao Gu, Xinjian Zhuang, Lei Cheng, Kun Zhang

X Demographics

X Demographics

The data shown below were collected from the profiles of 2 X users who shared this research output. Click here to find out more about how the information was compiled.
As of 1 July 2024, you may notice a temporary increase in the numbers of X profiles with Unknown location. Click here to learn more.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 4 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 4 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 1 25%
Researcher 1 25%
Student > Master 1 25%
Unknown 1 25%
Readers by discipline Count As %
Agricultural and Biological Sciences 2 50%
Engineering 1 25%
Unknown 1 25%
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 26 October 2022.
All research outputs
#15,413,593
of 22,979,862 outputs
Outputs from Frontiers in Sustainable Food Systems
#821
of 1,671 outputs
Outputs of similar age
#235,774
of 438,946 outputs
Outputs of similar age from Frontiers in Sustainable Food Systems
#67
of 192 outputs
Altmetric has tracked 22,979,862 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 1,671 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 11.8. This one is in the 49th percentile – i.e., 49% 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 438,946 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 45th percentile – i.e., 45% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 192 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 64% of its contemporaries.