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X Demographics
Mendeley readers
Attention Score in Context
| Chapter title |
Detection of Helicobacter pylori in the Gastric Mucosa by Fluorescence In Vivo Hybridization
|
|---|---|
| Chapter number | 8 |
| Book title |
Diagnostic Bacteriology
|
| Published in |
Methods in molecular biology, June 2017
|
| DOI | 10.1007/978-1-4939-7037-7_8 |
| Pubmed ID | |
| Book ISBNs |
978-1-4939-7035-3, 978-1-4939-7037-7
|
| Authors |
Silvia Fontenete, Marina Leite, Ceu Figueiredo, Paul Cos, Nuno F. Azevedo, Fontenete, Silvia, Leite, Marina, Figueiredo, Ceu, Cos, Paul, Azevedo, Nuno F. |
| Editors |
Kimberly A. Bishop-Lilly |
| Abstract |
In this chapter, we describe a fluorescence in vivo hybridization (FIVH) protocol, using nucleic acid probes, for the detection of the bacterium Helicobacter pylori in the gastric mucosa of an infected C57BL/6 mouse model. This protocol should be easily extended to other microorganisms not only as a way to identify in vivo important microorganisms and their patterns of distribution within specific or at different anatomic sites, but also to better understand interaction mechanisms involving the microbiome and the human body. |
X Demographics
The data shown below were collected from the profiles of 5 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 1 | 20% |
| Unknown | 4 | 80% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 5 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 4 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 4 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Bachelor | 1 | 25% |
| Lecturer | 1 | 25% |
| Unknown | 2 | 50% |
| Readers by discipline | Count | As % |
|---|---|---|
| Chemical Engineering | 1 | 25% |
| Immunology and Microbiology | 1 | 25% |
| Unknown | 2 | 50% |
Attention Score in Context
This research output has an Altmetric Attention Score of 10. 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 08 March 2018.
All research outputs
#3,287,902
of 22,979,862 outputs
Outputs from Methods in molecular biology
#798
of 13,148 outputs
Outputs of similar age
#62,984
of 317,056 outputs
Outputs of similar age from Methods in molecular biology
#13
of 303 outputs
Altmetric has tracked 22,979,862 research outputs across all sources so far. Compared to these this one has done well and is in the 85th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 13,148 research outputs from this source. They receive a mean Attention Score of 3.4. This one has done particularly well, scoring higher than 93% 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 317,056 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 80% of its contemporaries.
We're also able to compare this research output to 303 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 95% of its contemporaries.