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X Demographics
Mendeley readers
Attention Score in Context
Title |
Microarray of surface-exposed proteins of rickettsia heilongjiangensisfor serodiagnosis of Far-eastern spotted fever
|
---|---|
Published in |
BMC Infectious Diseases, June 2014
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DOI | 10.1186/1471-2334-14-332 |
Pubmed ID | |
Authors |
Yong Qi, Wenping Gong, Xiaolu Xiong, Jiafu Jiang, Yawei Wang, Jun Jiao, Changsong Duan, Bohai Wen |
Abstract |
Far-eastern spotted fever (FESF) is an important emerging infectious disease in Northeast Asia. The laboratory diagnosis of FESF in hospitals is mainly based on serological methods. However, these methods need to cultivate rickettsial cells as diagnostic antigens, which is both burdensome and dangerous. |
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 % |
---|---|---|
Practitioners (doctors, other healthcare professionals) | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 16 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
United States | 1 | 6% |
Brazil | 1 | 6% |
Unknown | 14 | 88% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 4 | 25% |
Lecturer | 1 | 6% |
Student > Bachelor | 1 | 6% |
Professor | 1 | 6% |
Researcher | 1 | 6% |
Other | 2 | 13% |
Unknown | 6 | 38% |
Readers by discipline | Count | As % |
---|---|---|
Biochemistry, Genetics and Molecular Biology | 4 | 25% |
Veterinary Science and Veterinary Medicine | 1 | 6% |
Agricultural and Biological Sciences | 1 | 6% |
Computer Science | 1 | 6% |
Immunology and Microbiology | 1 | 6% |
Other | 2 | 13% |
Unknown | 6 | 38% |
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 24 June 2014.
All research outputs
#18,373,874
of 22,757,541 outputs
Outputs from BMC Infectious Diseases
#5,587
of 7,664 outputs
Outputs of similar age
#163,804
of 228,185 outputs
Outputs of similar age from BMC Infectious Diseases
#137
of 174 outputs
Altmetric has tracked 22,757,541 research outputs across all sources so far. This one is in the 11th percentile – i.e., 11% of other outputs scored the same or lower than it.
So far Altmetric has tracked 7,664 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 15th percentile – i.e., 15% 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 228,185 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 15th percentile – i.e., 15% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 174 others from the same source and published within six weeks on either side of this one. This one is in the 10th percentile – i.e., 10% of its contemporaries scored the same or lower than it.