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Plant Cell Division

Overview of attention for book
Plant Cell Division
Springer US
Attention for Chapter: Means to Quantify Vascular Cell File Numbers in Different Tissues
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (91st percentile)
  • High Attention Score compared to outputs of the same age and source (99th percentile)

Mentioned by

twitter
35 X users

Citations

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1 Dimensions

Readers on

mendeley
14 Mendeley
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Chapter title
Means to Quantify Vascular Cell File Numbers in Different Tissues
Book title
Plant Cell Division
Published in
Methods in molecular biology, October 2021
DOI 10.1007/978-1-0716-1744-1_10
Pubmed ID
Book ISBNs
978-1-07-161743-4, 978-1-07-161744-1
Authors

Helena E. Arents, Gugan Eswaran, Matouš Glanc, Ari Pekka Mähönen, Bert De Rybel, Arents, Helena E., Eswaran, Gugan, Glanc, Matouš, Mähönen, Ari Pekka, Rybel, Bert De

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X Demographics

X Demographics

The data shown below were collected from the profiles of 35 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 14 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 14 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 5 36%
Student > Ph. D. Student 3 21%
Student > Doctoral Student 1 7%
Unspecified 1 7%
Student > Master 1 7%
Other 1 7%
Unknown 2 14%
Readers by discipline Count As %
Agricultural and Biological Sciences 6 43%
Biochemistry, Genetics and Molecular Biology 3 21%
Unspecified 1 7%
Economics, Econometrics and Finance 1 7%
Unknown 3 21%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 20. 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 22 March 2022.
All research outputs
#1,653,077
of 23,393,453 outputs
Outputs from Methods in molecular biology
#221
of 13,305 outputs
Outputs of similar age
#39,330
of 440,397 outputs
Outputs of similar age from Methods in molecular biology
#2
of 300 outputs
Altmetric has tracked 23,393,453 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 92nd percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 13,305 research outputs from this source. They receive a mean Attention Score of 3.4. This one has done particularly well, scoring higher than 98% 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 440,397 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 91% of its contemporaries.
We're also able to compare this research output to 300 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 99% of its contemporaries.