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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Towards evidence-based, GIS-driven national spatial health information infrastructure and surveillance services in the United Kingdom
|
|---|---|
| Published in |
International Journal of Health Geographics, January 2004
|
| DOI | 10.1186/1476-072x-3-1 |
| Pubmed ID | |
| Authors |
Maged N Kamel Boulos |
| Abstract |
The term "Geographic Information Systems" (GIS) has been added to MeSH in 2003, a step reflecting the importance and growing use of GIS in health and healthcare research and practices. GIS have much more to offer than the obvious digital cartography (map) functions. From a community health perspective, GIS could potentially act as powerful evidence-based practice tools for early problem detection and solving. When properly used, GIS can: inform and educate (professionals and the public); empower decision-making at all levels; help in planning and tweaking clinically and cost-effective actions, in predicting outcomes before making any financial commitments and ascribing priorities in a climate of finite resources; change practices; and continually monitor and analyse changes, as well as sentinel events. Yet despite all these potentials for GIS, they remain under-utilised in the UK National Health Service (NHS). This paper has the following objectives: (1) to illustrate with practical, real-world scenarios and examples from the literature the different GIS methods and uses to improve community health and healthcare practices, e.g., for improving hospital bed availability, in community health and bioterrorism surveillance services, and in the latest SARS outbreak; (2) to discuss challenges and problems currently hindering the wide-scale adoption of GIS across the NHS; and (3) to identify the most important requirements and ingredients for addressing these challenges, and realising GIS potential within the NHS, guided by related initiatives worldwide. The ultimate goal is to illuminate the road towards implementing a comprehensive national, multi-agency spatio-temporal health information infrastructure functioning proactively in real time. The concepts and principles presented in this paper can be also applied in other countries, and on regional (e.g., European Union) and global levels. |
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 239 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Canada | 2 | <1% |
| Portugal | 1 | <1% |
| United Arab Emirates | 1 | <1% |
| Turkey | 1 | <1% |
| Indonesia | 1 | <1% |
| Ghana | 1 | <1% |
| Kenya | 1 | <1% |
| Germany | 1 | <1% |
| Sweden | 1 | <1% |
| Other | 7 | 3% |
| Unknown | 222 | 93% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 50 | 21% |
| Researcher | 45 | 19% |
| Student > Ph. D. Student | 32 | 13% |
| Student > Bachelor | 18 | 8% |
| Professor | 14 | 6% |
| Other | 45 | 19% |
| Unknown | 35 | 15% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 38 | 16% |
| Social Sciences | 36 | 15% |
| Environmental Science | 29 | 12% |
| Computer Science | 24 | 10% |
| Agricultural and Biological Sciences | 14 | 6% |
| Other | 55 | 23% |
| Unknown | 43 | 18% |
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 30 August 2014.
All research outputs
#17,285,668
of 25,373,627 outputs
Outputs from International Journal of Health Geographics
#463
of 654 outputs
Outputs of similar age
#126,919
of 147,398 outputs
Outputs of similar age from International Journal of Health Geographics
#4
of 4 outputs
Altmetric has tracked 25,373,627 research outputs across all sources so far. This one is in the 21st percentile – i.e., 21% of other outputs scored the same or lower than it.
So far Altmetric has tracked 654 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 9.7. This one is in the 22nd percentile – i.e., 22% 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 147,398 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 4th percentile – i.e., 4% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 4 others from the same source and published within six weeks on either side of this one.