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Characterization of Chromobacterium violaceum pigment through a Hyperspectral Imaging System

Overview of attention for article published in AMB Express, January 2014
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About this Attention Score

  • Among the highest-scoring outputs from this source (#46 of 199)
  • Average Attention Score compared to outputs of the same age
  • High Attention Score compared to outputs of the same age and source (86th percentile)

Mentioned by

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1 tweeter

Citations

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8 Dimensions

Readers on

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46 Mendeley

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Summary Twitter Dimensions citations
Title
Characterization of Chromobacterium violaceum pigment through a Hyperspectral Imaging System
Published in
AMB Express, January 2014
DOI 10.1186/2191-0855-4-4
Pubmed ID
24417877
Authors

Maria J Gallardo, Juan P Staforelli, Pablo Meza, Ignacio Bordeu, Sergio Torres, Gallardo, Maria J, Staforelli, Juan P, Meza, Pablo, Bordeu, Ignacio, Torres, Sergio

Abstract

In this paper, a comprehensive spatio-spectral and temporal analysis for Chromobacterium violaceum colonies is reported. A hyperspectral imaging (HSI) system is used to recover the spectral signatures of pigment production in a non-homogeneous media with high spectral resolution and high sensitivity in vivo, without destructing the sample. This non-contact sensing technique opens avenues to study the temporal growing of a specific section in the bacterial colony. Further, from a 580 [nm] and 764 [nm] spatio-spectral time series, a wild-type and mutant Chromobacterium violaceum strains are characterized. Such study provides quantitative information about kinetic parameters of pigment production and bacterial growing.

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Twitter Demographics

The data shown below were collected from the profile of 1 tweeter 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 46 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Germany 2 4%
France 1 2%
Unknown 43 93%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 15 33%
Researcher 11 24%
Student > Master 7 15%
Student > Bachelor 6 13%
Student > Doctoral Student 1 2%
Other 3 7%
Unknown 3 7%
Readers by discipline Count As %
Agricultural and Biological Sciences 15 33%
Biochemistry, Genetics and Molecular Biology 10 22%
Immunology and Microbiology 6 13%
Engineering 3 7%
Physics and Astronomy 2 4%
Other 5 11%
Unknown 5 11%

Attention Score in Context

This research output has an Altmetric Attention Score of 1. 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 14 January 2014.
All research outputs
#2,325,429
of 4,506,407 outputs
Outputs from AMB Express
#46
of 199 outputs
Outputs of similar age
#60,243
of 124,190 outputs
Outputs of similar age from AMB Express
#1
of 15 outputs
Altmetric has tracked 4,506,407 research outputs across all sources so far. This one is in the 34th percentile – i.e., 34% of other outputs scored the same or lower than it.
So far Altmetric has tracked 199 research outputs from this source. They receive a mean Attention Score of 1.2. This one has gotten more attention than average, scoring higher than 71% 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 124,190 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 35th percentile – i.e., 35% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 15 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 86% of its contemporaries.

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