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LIPS database with LIPService: a microscopic image database of intracellular structures in Arabidopsis guard cells

Overview of attention for article published in BMC Plant Biology, January 2013
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  • Average Attention Score compared to outputs of the same age
  • Above-average Attention Score compared to outputs of the same age and source (62nd percentile)

Mentioned by

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3 tweeters

Citations

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10 Dimensions

Readers on

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19 Mendeley
Summary Twitter Dimensions citations
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Title
LIPS database with LIPService: a microscopic image database of intracellular structures in Arabidopsis guard cells
Published in
BMC Plant Biology, January 2013
DOI 10.1186/1471-2229-13-81
Pubmed ID
23679342
Authors

Takumi Higaki, Natsumaro Kutsuna, Seiichiro Hasezawa

Abstract

Intracellular configuration is an important feature of cell status. Recent advances in microscopic imaging techniques allow us to easily obtain a large number of microscopic images of intracellular structures. In this circumstance, automated microscopic image recognition techniques are of extreme importance to future phenomics/visible screening approaches. However, there was no benchmark microscopic image dataset for intracellular organelles in a specified plant cell type. We previously established the Live Images of Plant Stomata (LIPS) database, a publicly available collection of optical-section images of various intracellular structures of plant guard cells, as a model system of environmental signal perception and transduction. Here we report recent updates to the LIPS database and the establishment of a database table, LIPService.

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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 19 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 19 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 6 32%
Student > Ph. D. Student 5 26%
Student > Bachelor 2 11%
Professor > Associate Professor 2 11%
Lecturer 1 5%
Other 1 5%
Unknown 2 11%
Readers by discipline Count As %
Agricultural and Biological Sciences 10 53%
Computer Science 4 21%
Engineering 2 11%
Biochemistry, Genetics and Molecular Biology 1 5%
Unknown 2 11%

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 18 May 2013.
All research outputs
#13,310,266
of 22,710,079 outputs
Outputs from BMC Plant Biology
#961
of 3,216 outputs
Outputs of similar age
#157,533
of 280,734 outputs
Outputs of similar age from BMC Plant Biology
#21
of 58 outputs
Altmetric has tracked 22,710,079 research outputs across all sources so far. This one is in the 41st percentile – i.e., 41% of other outputs scored the same or lower than it.
So far Altmetric has tracked 3,216 research outputs from this source. They receive a mean Attention Score of 3.0. This one has gotten more attention than average, scoring higher than 69% 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 280,734 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 43rd percentile – i.e., 43% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 58 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 62% of its contemporaries.

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