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Looking at non-communicable diseases in Uganda through a local lens: an analysis using locally derived data

Overview of attention for article published in Globalization and Health, November 2014
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About this Attention Score

  • In the top 5% of all research outputs scored by Altmetric
  • Among the highest-scoring outputs from this source (#49 of 335)
  • High Attention Score compared to outputs of the same age (93rd percentile)
  • High Attention Score compared to outputs of the same age and source (92nd percentile)

Mentioned by

blogs
1 blog
twitter
12 tweeters

Citations

dimensions_citation
60 Dimensions

Readers on

mendeley
264 Mendeley
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Title
Looking at non-communicable diseases in Uganda through a local lens: an analysis using locally derived data
Published in
Globalization and Health, November 2014
DOI 10.1186/s12992-014-0077-5
Pubmed ID
Authors

Jeremy I Schwartz, David Guwatudde, Rachel Nugent, Charles Mondo Kiiza

Abstract

The demographic and nutritional transitions taking place in Uganda, just as in other low- and middle-income countries (LMIC), are leading to accelerating growth of chronic, non-communicable diseases (NCDs). Though still sparse, locally derived data on NCDs in Uganda has increased greatly over the past five years and will soon be bolstered by the first nationally representative data set on NCDs. Using these available local data, we describe the landscape of the globally recognized major NCDs- cardiovascular disease, diabetes, cancer, and chronic respiratory disease- and closely examine what is known about other locally important chronic conditions. For example, mental health disorders, spawned by an extended civil war, and highly prevalent NCD risk factors such as excessive alcohol intake and road traffic accidents, warrant special attention in Uganda. Additionally, we explore public sector capacity to tackle NCDs, including Ministry of Health NCD financing and health facility and healthcare worker preparedness. Finally, we describe a number of promising initiatives that are addressing the Ugandan NCD epidemic. These include multi-sector partnerships focused on capacity building and health systems strengthening; a model civil society collaboration leading a regional coalition; and a novel alliance of parliamentarians lobbying for NCD policy. Lessons learned from the ongoing Ugandan experience will inform other LMIC, especially in sub-Saharan Africa, as they restructure their health systems to address the growing NCD epidemic.

Twitter Demographics

The data shown below were collected from the profiles of 12 tweeters who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 264 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 264 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 71 27%
Researcher 31 12%
Student > Ph. D. Student 28 11%
Student > Bachelor 27 10%
Student > Postgraduate 18 7%
Other 38 14%
Unknown 51 19%
Readers by discipline Count As %
Medicine and Dentistry 73 28%
Nursing and Health Professions 38 14%
Social Sciences 20 8%
Agricultural and Biological Sciences 14 5%
Biochemistry, Genetics and Molecular Biology 7 3%
Other 44 17%
Unknown 68 26%

Attention Score in Context

This research output has an Altmetric Attention Score of 21. 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 April 2015.
All research outputs
#225,670
of 5,017,282 outputs
Outputs from Globalization and Health
#49
of 335 outputs
Outputs of similar age
#10,852
of 168,661 outputs
Outputs of similar age from Globalization and Health
#1
of 13 outputs
Altmetric has tracked 5,017,282 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 95th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 335 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 15.1. 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 168,661 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 93% of its contemporaries.
We're also able to compare this research output to 13 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 92% of its contemporaries.