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A high throughput method for quantifying number and size distribution of Arabidopsis seeds using large particle flow cytometry

Overview of attention for article published in Plant Methods, March 2020
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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 (78th percentile)
  • High Attention Score compared to outputs of the same age and source (84th percentile)

Mentioned by

twitter
15 X users

Citations

dimensions_citation
7 Dimensions

Readers on

mendeley
22 Mendeley
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Title
A high throughput method for quantifying number and size distribution of Arabidopsis seeds using large particle flow cytometry
Published in
Plant Methods, March 2020
DOI 10.1186/s13007-020-00572-x
Pubmed ID
Authors

Alejandro Morales, J. Teapal, J. M. H. Ammerlaan, X. Yin, J. B. Evers, N. P. R. Anten, R. Sasidharan, M. van Zanten

X Demographics

X Demographics

The data shown below were collected from the profiles of 15 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 22 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 22 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 5 23%
Student > Ph. D. Student 4 18%
Student > Master 3 14%
Lecturer 1 5%
Other 1 5%
Other 2 9%
Unknown 6 27%
Readers by discipline Count As %
Agricultural and Biological Sciences 9 41%
Biochemistry, Genetics and Molecular Biology 3 14%
Physics and Astronomy 2 9%
Computer Science 1 5%
Earth and Planetary Sciences 1 5%
Other 0 0%
Unknown 6 27%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 9. 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 02 September 2020.
All research outputs
#4,026,320
of 24,792,566 outputs
Outputs from Plant Methods
#222
of 1,203 outputs
Outputs of similar age
#79,421
of 365,464 outputs
Outputs of similar age from Plant Methods
#8
of 44 outputs
Altmetric has tracked 24,792,566 research outputs across all sources so far. Compared to these this one has done well and is in the 83rd percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,203 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.5. This one has done well, scoring higher than 81% 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 365,464 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 78% of its contemporaries.
We're also able to compare this research output to 44 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 84% of its contemporaries.