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Candida Species

Overview of attention for book
Cover of 'Candida Species'

Table of Contents

  1. Altmetric Badge
    Book Overview
  2. Altmetric Badge
    Chapter 1 Candida Species
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    Chapter 2 Candida Species
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    Chapter 3 SRYTH: A New Yeast Two-Hybrid Method.
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    Chapter 4 Chromatin Immunoprecipitation (ChIP) Assay in Candida albicans.
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    Chapter 5 Candida Species
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    Chapter 6 Candida Species
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    Chapter 7 Identification of Secreted Candida Proteins Using Mass Spectrometry.
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    Chapter 8 In Vitro Models for Candida Biofilm Development.
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    Chapter 9 The Fungal Biome of the Oral Cavity.
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    Chapter 10 Experimental Models of C. albicans-Streptococcal Co-infection.
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    Chapter 11 Staphylococcus-Candida Interaction Models: Antibiotic Resistance Testing and Host Interactions.
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    Chapter 12 Genetic Screens for Determination of Mechanism of Action.
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    Chapter 13 Candida Species
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    Chapter 14 Biofilms and Antifungal Susceptibility Testing.
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    Chapter 15 Candida Species
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    Chapter 16 Candida Species
Attention for Chapter 1: Candida Species
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Chapter title
Candida Species
Chapter number 1
Book title
Candida Species
Published in
Methods in molecular biology, January 2016
DOI 10.1007/978-1-4939-3052-4_1
Pubmed ID
26519061
Book ISBNs
978-1-4939-3051-7, 978-1-4939-3052-4
Authors

Skrzypek, Marek S, Binkley, Jonathan, Sherlock, Gavin, Marek S. Skrzypek, Jonathan Binkley, Gavin Sherlock

Abstract

Studying Candida biology requires access to genomic sequence data in conjunction with experimental information that provides functional context to genes and proteins. The Candida Genome Database (CGD) integrates functional information about Candida genes and their products with a set of analysis tools that facilitate searching for sets of genes and exploring their biological roles. This chapter describes how the various types of information available at CGD can be searched, retrieved, and analyzed. Starting with the guided tour of the CGD Home page and Locus Summary page, this unit shows how to navigate the various assemblies of the C. albicans genome, how to use Gene Ontology tools to make sense of large-scale data, and how to access the microarray data archived at CGD.

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X Demographics

X Demographics

The data shown below were collected from the profile of 1 X user 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 13 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 1 8%
Unknown 12 92%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 4 31%
Student > Master 2 15%
Researcher 2 15%
Professor 1 8%
Student > Doctoral Student 1 8%
Other 1 8%
Unknown 2 15%
Readers by discipline Count As %
Agricultural and Biological Sciences 4 31%
Biochemistry, Genetics and Molecular Biology 3 23%
Computer Science 1 8%
Immunology and Microbiology 1 8%
Psychology 1 8%
Other 0 0%
Unknown 3 23%
Attention Score in Context

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 25 May 2016.
All research outputs
#15,821,622
of 23,498,099 outputs
Outputs from Methods in molecular biology
#5,527
of 13,368 outputs
Outputs of similar age
#234,750
of 396,908 outputs
Outputs of similar age from Methods in molecular biology
#554
of 1,472 outputs
Altmetric has tracked 23,498,099 research outputs across all sources so far. This one is in the 22nd percentile – i.e., 22% of other outputs scored the same or lower than it.
So far Altmetric has tracked 13,368 research outputs from this source. They receive a mean Attention Score of 3.4. This one is in the 44th percentile – i.e., 44% 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 396,908 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 31st percentile – i.e., 31% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 1,472 others from the same source and published within six weeks on either side of this one. This one is in the 47th percentile – i.e., 47% of its contemporaries scored the same or lower than it.

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