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Attention Score in Context
Title |
Spatiotemporal analysis of indigenous and imported dengue fever cases in Guangdong province, China
|
---|---|
Published in |
BMC Infectious Diseases, June 2012
|
DOI | 10.1186/1471-2334-12-132 |
Pubmed ID | |
Authors |
Zhongjie Li, Wenwu Yin, Archie Clements, Gail Williams, Shengjie Lai, Hang Zhou, Dan Zhao, Yansha Guo, Yonghui Zhang, Jinfeng Wang, Wenbiao Hu, Weizhong Yang |
Abstract |
Dengue fever has been a major public health concern in China since it re-emerged in Guangdong province in 1978. This study aimed to explore spatiotemporal characteristics of dengue fever cases for both indigenous and imported cases during recent years in Guangdong province, so as to identify high-risk areas of the province and thereby help plan resource allocation for dengue interventions. |
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.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 1 | 100% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 78 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
United States | 1 | 1% |
Bhutan | 1 | 1% |
Brazil | 1 | 1% |
Unknown | 75 | 96% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Master | 15 | 19% |
Student > Ph. D. Student | 14 | 18% |
Researcher | 13 | 17% |
Student > Doctoral Student | 8 | 10% |
Lecturer | 4 | 5% |
Other | 12 | 15% |
Unknown | 12 | 15% |
Readers by discipline | Count | As % |
---|---|---|
Medicine and Dentistry | 18 | 23% |
Agricultural and Biological Sciences | 12 | 15% |
Environmental Science | 6 | 8% |
Computer Science | 5 | 6% |
Social Sciences | 4 | 5% |
Other | 18 | 23% |
Unknown | 15 | 19% |
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 12 June 2012.
All research outputs
#20,159,700
of 22,668,244 outputs
Outputs from BMC Infectious Diseases
#6,423
of 7,640 outputs
Outputs of similar age
#151,149
of 167,155 outputs
Outputs of similar age from BMC Infectious Diseases
#72
of 83 outputs
Altmetric has tracked 22,668,244 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 7,640 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 167,155 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 83 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.