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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Using an autologistic regression model to identify spatial risk factors and spatial risk patterns of hand, foot and mouth disease (HFMD) in Mainland China
|
|---|---|
| Published in |
BMC Public Health, April 2014
|
| DOI | 10.1186/1471-2458-14-358 |
| Pubmed ID | |
| Authors |
Yan-Chen Bo, Chao Song, Jin-Feng Wang, Xiao-Wen Li |
| Abstract |
There have been large-scale outbreaks of hand, foot and mouth disease (HFMD) in Mainland China over the last decade. These events varied greatly across the country. It is necessary to identify the spatial risk factors and spatial distribution patterns of HFMD for public health control and prevention. Climate risk factors associated with HFMD occurrence have been recognized. However, few studies discussed the socio-economic determinants of HFMD risk at a space scale. |
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 123 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Czechia | 1 | <1% |
| Malta | 1 | <1% |
| Unknown | 121 | 98% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 19 | 15% |
| Student > Master | 19 | 15% |
| Researcher | 14 | 11% |
| Student > Doctoral Student | 10 | 8% |
| Other | 7 | 6% |
| Other | 17 | 14% |
| Unknown | 37 | 30% |
| Readers by discipline | Count | As % |
|---|---|---|
| Environmental Science | 12 | 10% |
| Agricultural and Biological Sciences | 11 | 9% |
| Medicine and Dentistry | 10 | 8% |
| Earth and Planetary Sciences | 9 | 7% |
| Computer Science | 6 | 5% |
| Other | 35 | 28% |
| Unknown | 40 | 33% |
Attention Score in Context
This research output has an Altmetric Attention Score of 3. 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 May 2016.
All research outputs
#12,704,903
of 22,753,345 outputs
Outputs from BMC Public Health
#8,686
of 14,827 outputs
Outputs of similar age
#104,617
of 226,967 outputs
Outputs of similar age from BMC Public Health
#143
of 262 outputs
Altmetric has tracked 22,753,345 research outputs across all sources so far. This one is in the 43rd percentile – i.e., 43% of other outputs scored the same or lower than it.
So far Altmetric has tracked 14,827 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 13.9. This one is in the 40th percentile – i.e., 40% 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 226,967 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 53% of its contemporaries.
We're also able to compare this research output to 262 others from the same source and published within six weeks on either side of this one. This one is in the 44th percentile – i.e., 44% of its contemporaries scored the same or lower than it.