↓ Skip to main content


Overview of attention for book
Cover of 'Salmonella'

Table of Contents

  1. Altmetric Badge
    Book Overview
  2. Altmetric Badge
    Chapter 1 Luminex® Multiplex Bead Suspension Arrays for the Detection and Serotyping of Salmonella spp.
  3. Altmetric Badge
    Chapter 2 Quantitative Proteomic Identification of Host Factors Involved in the Salmonella typhimurium Infection Cycle
  4. Altmetric Badge
    Chapter 3 Determination of Antimicrobial Resistance in Salmonella spp.
  5. Altmetric Badge
    Chapter 4 Salmonella
  6. Altmetric Badge
    Chapter 5 A Method to Introduce an Internal Tag Sequence into a Salmonella Chromosomal Gene
  7. Altmetric Badge
    Chapter 6 Salmonella
  8. Altmetric Badge
    Chapter 7 Detection of Antimicrobial (Poly)Peptides with Acid Urea Polyacrylamide Gel Electrophoresis Followed by Western Immunoblot
  9. Altmetric Badge
    Chapter 8 Detecting Non-typhoid Salmonella in Humans by Enzyme-Linked Immunosorbent Assays (ELISAs): Practical and Epidemiological Aspects
  10. Altmetric Badge
    Chapter 9 Study of the Stn Protein in Salmonella ; A Regulator of Membrane Composition and Integrity
  11. Altmetric Badge
    Chapter 10 Development of a Bacterial Nanoparticle Vaccine
  12. Altmetric Badge
    Chapter 11 Direct Attachment of Nanoparticle Cargo to Salmonella typhimurium Membranes Designed for Combination Bacteriotherapy Against Tumors
  13. Altmetric Badge
    Chapter 12 Applications of Microscopy in Salmonella Research
  14. Altmetric Badge
    Chapter 13 Live Cell Imaging of Intracellular Salmonella enterica
  15. Altmetric Badge
    Chapter 14 In Vitro Modeling of Gallbladder-Associated Salmonella spp. Colonization.
  16. Altmetric Badge
    Chapter 15 Salmonella phages and prophages: genomics, taxonomy, and applied aspects.
Attention for Chapter 3: Determination of Antimicrobial Resistance in Salmonella spp.
Altmetric Badge

About this Attention Score

  • Average Attention Score compared to outputs of the same age
  • Above-average Attention Score compared to outputs of the same age and source (52nd percentile)

Mentioned by

2 tweeters


16 Dimensions

Readers on

35 Mendeley
You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output. Click here to find out more.
Chapter title
Determination of Antimicrobial Resistance in Salmonella spp.
Chapter number 3
Book title
Published in
Methods in molecular biology, January 2015
DOI 10.1007/978-1-4939-1625-2_3
Pubmed ID
Book ISBNs
978-1-4939-1624-5, 978-1-4939-1625-2

Belgode N Harish, Godfred A Menezes, Harish BN, Menezes GA, Belgode N. Harish, Godfred A. Menezes


Infections with Salmonella are an important public health problem worldwide. Salmonella are one of the most common causes of food-borne illness in humans. There are many types of Salmonella but they can be divided into two broad categories: those that cause typhoid and those that do not. The typhoidal Salmonella (TS), such as S. enterica subsp. enterica serovars Typhi and S. Paratyphi only colonize humans and are usually acquired by the consumption of food or water contaminated with human fecal material. The much broader group of non-typhoidal Salmonella (NTS) usually results from improperly handled food that has been contaminated by animal or human fecal material. Antimicrobials are critical to the successful outcome of invasive Salmonella infections and enteric fever. Due to resistance to the older antimicrobials, ciprofloxacin [fluoroquinolone (FQ)] has become the first-line drug for treatment. Nevertheless, switch to FQ has led to a subsequent increase in the occurrence of salmonellae resistant to this antimicrobial agent. The exact mechanism of this FQ resistance is not fully understood. FQ resistance has driven the use of third-generation cephalosporins and azithromycin. However, there are sporadic worldwide reports of high level resistance to expanded-spectrum cephalosporins (such as ceftriaxone) in TS and in NTS it has been recognized since 1988 and are increasing in prevalence worldwide. Already there are rare reports of azithromycin resistance leading to treatment failure. Spread of such resistance would further greatly limit the available therapeutic options, and leave us with only the reserve antimicrobials such as carbapenem and tigecycline as possible treatment options. Here, we describe the methods involved in the genotypic characterization of antimicrobial resistance in clinical isolates of salmonellae.

Twitter Demographics

The data shown below were collected from the profiles of 2 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 35 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Germany 1 3%
Unknown 34 97%

Demographic breakdown

Readers by professional status Count As %
Other 6 17%
Student > Bachelor 5 14%
Student > Master 5 14%
Professor > Associate Professor 4 11%
Student > Ph. D. Student 4 11%
Other 6 17%
Unknown 5 14%
Readers by discipline Count As %
Medicine and Dentistry 10 29%
Agricultural and Biological Sciences 7 20%
Biochemistry, Genetics and Molecular Biology 3 9%
Social Sciences 3 9%
Immunology and Microbiology 2 6%
Other 3 9%
Unknown 7 20%

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 May 2016.
All research outputs
of 7,695,064 outputs
Outputs from Methods in molecular biology
of 5,464 outputs
Outputs of similar age
of 193,463 outputs
Outputs of similar age from Methods in molecular biology
of 59 outputs
Altmetric has tracked 7,695,064 research outputs across all sources so far. This one is in the 24th percentile – i.e., 24% of other outputs scored the same or lower than it.
So far Altmetric has tracked 5,464 research outputs from this source. They receive a mean Attention Score of 1.9. This one is in the 47th percentile – i.e., 47% 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 193,463 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 34th percentile – i.e., 34% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 59 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 52% of its contemporaries.