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Attention Score in Context
| Title |
Epidemiological and clinical profiles of respiratory syncytial virus infection in hospitalized neonates in Suzhou, China
|
|---|---|
| Published in |
BMC Infectious Diseases, October 2015
|
| DOI | 10.1186/s12879-015-1155-x |
| Pubmed ID | |
| Authors |
Lianghua Lu, Yongdong Yan, Bin Yang, Zhihui Xiao, Xing Feng, Yuqing Wang, Wei Ji, Maximillion Mize, Chuangli Hao, Zhengrong Chen |
| Abstract |
This study was designed to explore the epidemiological and clinical profiles of respiratory syncytial virus (RSV) infection in neonates from the Suzhou area of China, taking into consideration how climate factors influence disease. From 2010 to 2014, nasopharyngeal aspirates (NPA) collected from hospitalized neonates with lower respiratory tract infections (LRIs) were screened for seven common respiratory viruses including RSV by direct immunofluorescence assay. Human bocavirus, human metapneumovirus, and mycoplasma pneumoniae were detected by polymerase chain reaction. Of the 1803 hospitalized neonates analyzed, 20.74 % were found to be infected with RSV. Interestingly, 30 subjects were identified as being coinfected with other viruses. The rate of RSV infection was highestduring thewinter and early spring seasons; however, infection was negatively associated with monthly mean temperature (rs = -0.821, P < 0.0001), total rainfall (rs = -0.406, P = 0.002), and sum of sunshine (rs = -0.386, P = 0.001). Monthly mean temperature was the only independent factor associated with RSV activity, as determined using multivariate regression analysis. Compared with non-RSV neonates, neonates with RSV infection presented more frequently with tachypnea,moist rales, and abnormal chest X-rays requiring supplemental oxygen and extended hospitalization postpartum. Neonatal admittance into the NICU was determined based on prematurity and coinfection with other viruses; two independent risk factors for RSV disease, as determined by multivariate logistic analysis. Important as a major cause of LRIs in hospitalized neonate, we found that the subtropical climate of the Suzhou area was associated with RSV activity. The identified risk factors ofsevere disease in neonates with RSV infection should be taken into consideration when implementing disease health interventions. |
Mendeley readers
The data shown below were compiled from readership statistics for 54 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 54 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 13 | 24% |
| Researcher | 7 | 13% |
| Student > Doctoral Student | 7 | 13% |
| Student > Ph. D. Student | 5 | 9% |
| Student > Postgraduate | 4 | 7% |
| Other | 7 | 13% |
| Unknown | 11 | 20% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 17 | 31% |
| Nursing and Health Professions | 6 | 11% |
| Agricultural and Biological Sciences | 3 | 6% |
| Biochemistry, Genetics and Molecular Biology | 3 | 6% |
| Pharmacology, Toxicology and Pharmaceutical Science | 2 | 4% |
| Other | 7 | 13% |
| Unknown | 16 | 30% |
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 22 October 2015.
All research outputs
#20,295,099
of 22,831,537 outputs
Outputs from BMC Infectious Diseases
#6,469
of 7,678 outputs
Outputs of similar age
#234,162
of 279,236 outputs
Outputs of similar age from BMC Infectious Diseases
#152
of 157 outputs
Altmetric has tracked 22,831,537 research outputs across all sources so far. This one is in the 1st percentile – i.e., 1% of other outputs scored the same or lower than it.
So far Altmetric has tracked 7,678 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 9.6. This one is in the 1st percentile – i.e., 1% 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 279,236 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 157 others from the same source and published within six weeks on either side of this one. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.