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Starch grain analysis as a Microscopic Diagnostic Feature in the Identification of Plant Material

Overview of attention for article published in Economic Botany, April 1994
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Mentioned by

wikipedia
1 Wikipedia page

Citations

dimensions_citation
57 Dimensions

Readers on

mendeley
45 Mendeley
Title
Starch grain analysis as a Microscopic Diagnostic Feature in the Identification of Plant Material
Published in
Economic Botany, April 1994
DOI 10.1007/bf02908212
Authors

A. R. Cortella, M. L. Pochettino

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 45 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 1 2%
Unknown 44 98%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 13 29%
Researcher 7 16%
Student > Master 6 13%
Student > Bachelor 5 11%
Student > Doctoral Student 4 9%
Other 4 9%
Unknown 6 13%
Readers by discipline Count As %
Arts and Humanities 8 18%
Social Sciences 7 16%
Agricultural and Biological Sciences 7 16%
Chemistry 7 16%
Environmental Science 3 7%
Other 5 11%
Unknown 8 18%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 3. 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 25 June 2014.
All research outputs
#7,454,951
of 22,790,780 outputs
Outputs from Economic Botany
#273
of 844 outputs
Outputs of similar age
#6,644
of 22,985 outputs
Outputs of similar age from Economic Botany
#2
of 8 outputs
Altmetric has tracked 22,790,780 research outputs across all sources so far. This one is in the 44th percentile – i.e., 44% of other outputs scored the same or lower than it.
So far Altmetric has tracked 844 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.5. This one is in the 17th percentile – i.e., 17% 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 22,985 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 8th percentile – i.e., 8% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 8 others from the same source and published within six weeks on either side of this one. This one has scored higher than 6 of them.