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CalloseMeasurer: a novel software solution to measure callose deposition and recognise spreading callose patterns

Overview of attention for article published in Plant Methods, December 2012
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  • Average Attention Score compared to outputs of the same age and source

Mentioned by

twitter
4 X users

Citations

dimensions_citation
22 Dimensions

Readers on

mendeley
134 Mendeley
citeulike
1 CiteULike
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Title
CalloseMeasurer: a novel software solution to measure callose deposition and recognise spreading callose patterns
Published in
Plant Methods, December 2012
DOI 10.1186/1746-4811-8-49
Pubmed ID
Authors

Ji Zhou, Thomas Spallek, Christine Faulkner, Silke Robatzek

X Demographics

X Demographics

The data shown below were collected from the profiles of 4 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 134 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
France 2 1%
Portugal 1 <1%
Australia 1 <1%
Brazil 1 <1%
Czechia 1 <1%
United Kingdom 1 <1%
Taiwan 1 <1%
Belgium 1 <1%
Unknown 125 93%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 30 22%
Researcher 27 20%
Student > Master 15 11%
Student > Doctoral Student 11 8%
Professor > Associate Professor 10 7%
Other 23 17%
Unknown 18 13%
Readers by discipline Count As %
Agricultural and Biological Sciences 87 65%
Biochemistry, Genetics and Molecular Biology 10 7%
Environmental Science 4 3%
Computer Science 3 2%
Engineering 3 2%
Other 7 5%
Unknown 20 15%
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 22 January 2013.
All research outputs
#14,158,070
of 22,689,790 outputs
Outputs from Plant Methods
#705
of 1,073 outputs
Outputs of similar age
#156,260
of 261,293 outputs
Outputs of similar age from Plant Methods
#13
of 20 outputs
Altmetric has tracked 22,689,790 research outputs across all sources so far. This one is in the 35th percentile – i.e., 35% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,073 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.3. This one is in the 30th percentile – i.e., 30% 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 261,293 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 38th percentile – i.e., 38% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 20 others from the same source and published within six weeks on either side of this one. This one is in the 30th percentile – i.e., 30% of its contemporaries scored the same or lower than it.