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Mendeley readers
Attention Score in Context
| Title |
Predictive Mapping of Human Risk for West Nile Virus (WNV) Based on Environmental and Socioeconomic Factors
|
|---|---|
| Published in |
PLOS ONE, August 2011
|
| DOI | 10.1371/journal.pone.0023280 |
| Pubmed ID | |
| Authors |
Ilia Rochlin, David Turbow, Frank Gomez, Dominick V. Ninivaggi, Scott R. Campbell |
| Abstract |
A West Nile virus (WNV) human risk map was developed for Suffolk County, New York utilizing a case-control approach to explore the association between the risk of vector-borne WNV and habitat, landscape, virus activity, and socioeconomic variables derived from publically available datasets. Results of logistic regression modeling for the time period between 2000 and 2004 revealed that higher proportion of population with college education, increased habitat fragmentation, and proximity to WNV positive mosquito pools were strongly associated with WNV human risk. Similar to previous investigations from north-central US, this study identified middle class suburban neighborhoods as the areas with the highest WNV human risk. These results contrast with similar studies from the southern and western US, where the highest WNV risk was associated with low income areas. This discrepancy may be due to regional differences in vector ecology, urban environment, or human behavior. Geographic Information Systems (GIS) analytical tools were used to integrate the risk factors in the 2000-2004 logistic regression model generating WNV human risk map. In 2005-2010, 41 out of 46 (89%) of WNV human cases occurred either inside of (30 cases) or in close proximity (11 cases) to the WNV high risk areas predicted by the 2000-2004 model. The novel approach employed by this study may be implemented by other municipal, local, or state public health agencies to improve geographic risk estimates for vector-borne diseases based on a small number of acute human cases. |
Mendeley readers
The data shown below were compiled from readership statistics for 155 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 2 | 1% |
| Canada | 2 | 1% |
| Argentina | 1 | <1% |
| Italy | 1 | <1% |
| Unknown | 149 | 96% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 31 | 20% |
| Researcher | 29 | 19% |
| Student > Master | 26 | 17% |
| Student > Bachelor | 14 | 9% |
| Student > Doctoral Student | 8 | 5% |
| Other | 22 | 14% |
| Unknown | 25 | 16% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 48 | 31% |
| Environmental Science | 19 | 12% |
| Medicine and Dentistry | 14 | 9% |
| Veterinary Science and Veterinary Medicine | 10 | 6% |
| Earth and Planetary Sciences | 5 | 3% |
| Other | 28 | 18% |
| Unknown | 31 | 20% |
Attention Score in Context
This research output has an Altmetric Attention Score of 14. 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 16 July 2013.
All research outputs
#2,251,357
of 22,681,577 outputs
Outputs from PLOS ONE
#28,752
of 193,576 outputs
Outputs of similar age
#11,143
of 120,739 outputs
Outputs of similar age from PLOS ONE
#318
of 2,369 outputs
Altmetric has tracked 22,681,577 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 90th percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 193,576 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 15.0. This one has done well, scoring higher than 85% of its peers.
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 120,739 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 90% of its contemporaries.
We're also able to compare this research output to 2,369 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 86% of its contemporaries.