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X Demographics
Mendeley readers
Attention Score in Context
| Title |
An easy operating pathogen microarray (EOPM) platform for rapid screening of vertebrate pathogens
|
|---|---|
| Published in |
BMC Infectious Diseases, September 2013
|
| DOI | 10.1186/1471-2334-13-437 |
| Pubmed ID | |
| Authors |
Weiwei Huang, Yinhui Yang, Xinlei Zhang, Changan Zhao, Aihua Yin, Xiaozhuang Zhang, Zhengxin He, Yongqiang Jiang, Liang Zhang |
| Abstract |
Infectious diseases emerge frequently in China, partly because of its large and highly mobile population. Therefore, a rapid and cost-effective pathogen screening method with broad coverage is required for prevention and control of infectious diseases. The availability of a large number of microbial genome sequences generated by conventional Sanger sequencing and next generation sequencing has enabled the development of a high-throughput high-density microarray platform for rapid large-scale screening of vertebrate pathogens. |
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 30 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United Kingdom | 1 | 3% |
| Unknown | 29 | 97% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 7 | 23% |
| Student > Bachelor | 6 | 20% |
| Student > Master | 5 | 17% |
| Student > Ph. D. Student | 3 | 10% |
| Professor | 2 | 7% |
| Other | 2 | 7% |
| Unknown | 5 | 17% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 8 | 27% |
| Medicine and Dentistry | 7 | 23% |
| Computer Science | 2 | 7% |
| Nursing and Health Professions | 2 | 7% |
| Veterinary Science and Veterinary Medicine | 1 | 3% |
| Other | 2 | 7% |
| Unknown | 8 | 27% |
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 20 September 2013.
All research outputs
#20,202,510
of 22,721,584 outputs
Outputs from BMC Infectious Diseases
#6,442
of 7,659 outputs
Outputs of similar age
#176,567
of 201,793 outputs
Outputs of similar age from BMC Infectious Diseases
#114
of 138 outputs
Altmetric has tracked 22,721,584 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 7,659 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 201,793 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 138 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.