↓ Skip to main content

Geographical information system and predictive risk maps of urinary schistosomiasis in Ogun State, Nigeria

Overview of attention for article published in BMC Infectious Diseases, May 2008
Altmetric Badge

Mentioned by

facebook
2 Facebook pages

Citations

dimensions_citation
36 Dimensions

Readers on

mendeley
108 Mendeley
You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output. Click here to find out more.
Title
Geographical information system and predictive risk maps of urinary schistosomiasis in Ogun State, Nigeria
Published in
BMC Infectious Diseases, May 2008
DOI 10.1186/1471-2334-8-74
Pubmed ID
Authors

Uwem F Ekpo, Chiedu F Mafiana, Clement O Adeofun, Adewale RT Solarin, Adewumi B Idowu

Abstract

The control of urinary schistosomiasis in Ogun State, Nigeria remains inert due to lack of reliable data on the geographical distribution of the disease and the population at risk. To help in developing a control programme, delineating areas of risk, geographical information system and remotely sensed environmental images were used to developed predictive risk maps of the probability of occurrence of the disease and quantify the risk for infection in Ogun State, Nigeria.

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 108 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 1 <1%
United States 1 <1%
Unknown 106 98%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 19 18%
Researcher 19 18%
Student > Master 18 17%
Student > Bachelor 8 7%
Student > Doctoral Student 7 6%
Other 22 20%
Unknown 15 14%
Readers by discipline Count As %
Agricultural and Biological Sciences 21 19%
Medicine and Dentistry 18 17%
Environmental Science 10 9%
Nursing and Health Professions 8 7%
Social Sciences 5 5%
Other 19 18%
Unknown 27 25%
Attention Score in Context

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 15 March 2014.
All research outputs
#18,366,246
of 22,747,498 outputs
Outputs from BMC Infectious Diseases
#5,582
of 7,664 outputs
Outputs of similar age
#75,938
of 82,410 outputs
Outputs of similar age from BMC Infectious Diseases
#12
of 14 outputs
Altmetric has tracked 22,747,498 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 82,410 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 3rd percentile – i.e., 3% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 14 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.