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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Factors affecting development of Clostridium difficile infection in hospitalized pediatric patients in the country Georgia
|
|---|---|
| Published in |
BMC Research Notes, June 2018
|
| DOI | 10.1186/s13104-018-3517-0 |
| Pubmed ID | |
| Authors |
Iuri Migriauli, Vakhtang Meunargia, Ivane Chkhaidze, Giorgi Sabakhtarishvili, Kakha Gujabidze, Maia Butsashvili, George Kamkamidze |
| Abstract |
Main aims of our study were to investigate occurrence of Clostridium difficile among hospitalized pediatric patients in Georgia and examine risk factors for the development of C. difficile infection. During our study we tested and piloted the real-time PCR diagnostic systems for rapid and simultaneous identification of C. difficile and number of other pathogens in our facility settings. A cross-sectional study has been performed in children less than 18 years of age in two pediatric hospitals in Georgia, between May 2016 and December 2017. Stool specimens negative by the conventional bacteriology analysis were analyzed for the presence of C. difficile and several viral and protozoa pathogens using enzyme immune assay and polymerase chain reaction. In total samples from 220 hospitalized children with gastroenteritis symptoms were analyzed in this study. The average age of the study participants was 4.7 years. Overall 23 children were identified positive for C. difficile (10.5%). Antibiotic exposure within 2 months preceding the onset of diarrhea was associated with an increased risk of C. difficile infections. The risk was greatest with cephalosporins, followed by penicillins, carbapenems and macrolides. Clostridium difficile is an important cause of healthcare-associated diarrhea in pediatric population of Georgia. |
X Demographics
The data shown below were collected from the profiles of 2 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Australia | 1 | 50% |
| Unknown | 1 | 50% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 1 | 50% |
| Practitioners (doctors, other healthcare professionals) | 1 | 50% |
Mendeley readers
The data shown below were compiled from readership statistics for 6 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 6 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Doctoral Student | 1 | 17% |
| Student > Bachelor | 1 | 17% |
| Professor | 1 | 17% |
| Student > Master | 1 | 17% |
| Student > Postgraduate | 1 | 17% |
| Other | 0 | 0% |
| Unknown | 1 | 17% |
| Readers by discipline | Count | As % |
|---|---|---|
| Nursing and Health Professions | 1 | 17% |
| Immunology and Microbiology | 1 | 17% |
| Social Sciences | 1 | 17% |
| Medicine and Dentistry | 1 | 17% |
| Neuroscience | 1 | 17% |
| Other | 0 | 0% |
| Unknown | 1 | 17% |
Attention Score in Context
This research output has an Altmetric Attention Score of 2. 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 28 June 2018.
All research outputs
#15,486,645
of 23,092,602 outputs
Outputs from BMC Research Notes
#2,321
of 4,287 outputs
Outputs of similar age
#209,105
of 329,072 outputs
Outputs of similar age from BMC Research Notes
#68
of 137 outputs
Altmetric has tracked 23,092,602 research outputs across all sources so far. This one is in the 32nd percentile – i.e., 32% of other outputs scored the same or lower than it.
So far Altmetric has tracked 4,287 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.6. This one is in the 45th percentile – i.e., 45% 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 329,072 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 36th percentile – i.e., 36% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 137 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 50% of its contemporaries.