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Bayesian approach for analysis of time-to-event data in plant biology

Overview of attention for article published in Plant Methods, February 2020
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About this Attention Score

  • Average Attention Score compared to outputs of the same age

Mentioned by

twitter
3 tweeters

Citations

dimensions_citation
6 Dimensions

Readers on

mendeley
22 Mendeley
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Title
Bayesian approach for analysis of time-to-event data in plant biology
Published in
Plant Methods, February 2020
DOI 10.1186/s13007-020-0554-1
Pubmed ID
Authors

Jan F. Humplík, Jakub Dostál, Lydia Ugena, Lukáš Spíchal, Nuria De Diego, Ondřej Vencálek, Tomáš Fürst

Twitter Demographics

The data shown below were collected from the profiles of 3 tweeters who shared this research output. Click here to find out more about how the information was compiled.

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 %
Student > Ph. D. Student 6 27%
Researcher 4 18%
Student > Bachelor 3 14%
Student > Master 2 9%
Student > Doctoral Student 1 5%
Other 3 14%
Unknown 3 14%
Readers by discipline Count As %
Agricultural and Biological Sciences 10 45%
Biochemistry, Genetics and Molecular Biology 5 23%
Psychology 3 14%
Computer Science 1 5%
Linguistics 1 5%
Other 0 0%
Unknown 2 9%

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 02 March 2020.
All research outputs
#10,008,750
of 17,125,476 outputs
Outputs from Plant Methods
#498
of 823 outputs
Outputs of similar age
#166,147
of 335,294 outputs
Outputs of similar age from Plant Methods
#1
of 1 outputs
Altmetric has tracked 17,125,476 research outputs across all sources so far. This one is in the 40th percentile – i.e., 40% of other outputs scored the same or lower than it.
So far Altmetric has tracked 823 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.2. 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 335,294 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 49th percentile – i.e., 49% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 1 others from the same source and published within six weeks on either side of this one. This one has scored higher than all of them