↓ Skip to main content

Adenovirus-associated acute conjunctivitis in Beijing, China, 2011–2013

Overview of attention for article published in BMC Infectious Diseases, March 2018
Altmetric Badge

Mentioned by

twitter
1 X user

Citations

dimensions_citation
33 Dimensions

Readers on

mendeley
38 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.
Title
Adenovirus-associated acute conjunctivitis in Beijing, China, 2011–2013
Published in
BMC Infectious Diseases, March 2018
DOI 10.1186/s12879-018-3014-z
Pubmed ID
Authors

Jie Li, Xiaoyan Lu, Baoming Jiang, Yiwei Du, Yang Yang, Haikun Qian, Baiwei Liu, Changying Lin, Lei Jia, Lijuan Chen, Quanyi Wang

Abstract

Human adenovirus (HAdV)-associated acute conjunctivitis is a common infectious disease and causes significant morbidity among residents in Beijing, China. However, little is known about the epidemiology and type distribution of acute adenoviral conjunctivitis in Beijing. Acute conjunctivitis surveillance was conducted in 18 hospitals in Beijing from July through October during 2011-2013. HAdVs were detected by PCR from eye swab and types were determined by partial hexon and fiber gene sequencing. Risk factors associated with adenoviral conjunctivitis were analyzed. Of 876 conjunctivitis cases, 349 (39.8%) were HAdV positive. HAdV detection was most common in conjunctivitis patients aged 18-40 years; patients with contact history with a conjunctivitis case; patients with specimen collected on days 4-6 post symptom onset and patients who worked in food service as catering attendants. Fifteen types were identified among adenoviral conjunctivitis cases. Five HAdV types (HAdV-4, - 37, - 53, - 64 and - 8) accounted for 81.1% of all adenoviral conjunctivitis cases. HAdV-37, - 4 and - 53 were the most common types associated with adenoviral conjunctivitis in 2011, 2012 and 2013, respectively. Multiple HAdV types were associated with acute conjunctivitis in Beijing. Predominant types associated with adenoviral conjunctivitis circulating in Beijing varied from year to year.

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 38 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 38 100%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 5 13%
Student > Postgraduate 5 13%
Researcher 5 13%
Student > Ph. D. Student 2 5%
Lecturer 1 3%
Other 3 8%
Unknown 17 45%
Readers by discipline Count As %
Medicine and Dentistry 10 26%
Nursing and Health Professions 3 8%
Immunology and Microbiology 2 5%
Biochemistry, Genetics and Molecular Biology 1 3%
Computer Science 1 3%
Other 2 5%
Unknown 19 50%
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 26 March 2018.
All research outputs
#20,469,520
of 23,028,364 outputs
Outputs from BMC Infectious Diseases
#6,523
of 7,725 outputs
Outputs of similar age
#293,429
of 332,279 outputs
Outputs of similar age from BMC Infectious Diseases
#103
of 136 outputs
Altmetric has tracked 23,028,364 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 7,725 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 10.3. 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 332,279 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 136 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.