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LogSpin: a simple, economical and fast method for RNA isolation from infected or healthy plants and other eukaryotic tissues

Overview of attention for article published in BMC Research Notes, January 2012
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • Good Attention Score compared to outputs of the same age (79th percentile)
  • Good Attention Score compared to outputs of the same age and source (76th percentile)

Mentioned by

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3 X users
patent
1 patent

Citations

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63 Dimensions

Readers on

mendeley
136 Mendeley
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Title
LogSpin: a simple, economical and fast method for RNA isolation from infected or healthy plants and other eukaryotic tissues
Published in
BMC Research Notes, January 2012
DOI 10.1186/1756-0500-5-45
Pubmed ID
Authors

Hila Yaffe, Kobi Buxdorf, Illil Shapira, Shachaf Ein-Gedi, Michal Moyal-Ben Zvi, Eyal Fridman, Menachem Moshelion, Maggie Levy

X Demographics

X Demographics

The data shown below were collected from the profiles of 3 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 136 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Portugal 1 <1%
Germany 1 <1%
Brazil 1 <1%
Mexico 1 <1%
United States 1 <1%
Poland 1 <1%
Unknown 130 96%

Demographic breakdown

Readers by professional status Count As %
Student > Master 27 20%
Student > Ph. D. Student 26 19%
Researcher 25 18%
Student > Bachelor 15 11%
Student > Doctoral Student 6 4%
Other 19 14%
Unknown 18 13%
Readers by discipline Count As %
Agricultural and Biological Sciences 56 41%
Biochemistry, Genetics and Molecular Biology 44 32%
Medicine and Dentistry 3 2%
Unspecified 2 1%
Environmental Science 2 1%
Other 7 5%
Unknown 22 16%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 6. 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 April 2023.
All research outputs
#5,748,110
of 23,524,722 outputs
Outputs from BMC Research Notes
#815
of 4,301 outputs
Outputs of similar age
#50,659
of 249,150 outputs
Outputs of similar age from BMC Research Notes
#18
of 78 outputs
Altmetric has tracked 23,524,722 research outputs across all sources so far. Compared to these this one has done well and is in the 75th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 4,301 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.7. This one has done well, scoring higher than 80% 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 249,150 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 79% of its contemporaries.
We're also able to compare this research output to 78 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 76% of its contemporaries.