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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Decomposing Kenyan socio-economic inequalities in skilled birth attendance and measles immunization
|
|---|---|
| Published in |
International Journal for Equity in Health, January 2013
|
| DOI | 10.1186/1475-9276-12-3 |
| Pubmed ID | |
| Authors |
Carine Van Malderen, Irene Ogali, Anne Khasakhala, Stephen N Muchiri, Corey Sparks, Herman Van Oyen, Niko Speybroeck |
| Abstract |
Skilled birth attendance (SBA) and measles immunization reflect two aspects of a health system. In Kenya, their national coverage gaps are substantial but could be largely improved if the total population had the same coverage as the wealthiest quintile. A decomposition analysis allows identifying the factors that influence these wealth-related inequalities in order to develop appropriate policy responses. The main objective of the study was to decompose wealth-related inequalities in SBA and measles immunization into their contributing factors. |
X Demographics
The data shown below were collected from the profiles of 2 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 1 | 50% |
| Unknown | 1 | 50% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 2 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 169 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| New Zealand | 1 | <1% |
| Bangladesh | 1 | <1% |
| Kenya | 1 | <1% |
| South Africa | 1 | <1% |
| Unknown | 165 | 98% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 31 | 18% |
| Researcher | 26 | 15% |
| Student > Ph. D. Student | 19 | 11% |
| Student > Bachelor | 13 | 8% |
| Student > Postgraduate | 11 | 7% |
| Other | 26 | 15% |
| Unknown | 43 | 25% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 43 | 25% |
| Nursing and Health Professions | 23 | 14% |
| Social Sciences | 20 | 12% |
| Economics, Econometrics and Finance | 9 | 5% |
| Agricultural and Biological Sciences | 7 | 4% |
| Other | 17 | 10% |
| Unknown | 50 | 30% |
Attention Score in Context
This research output has an Altmetric Attention Score of 5. 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 June 2018.
All research outputs
#7,047,316
of 25,373,627 outputs
Outputs from International Journal for Equity in Health
#1,116
of 2,222 outputs
Outputs of similar age
#69,438
of 289,561 outputs
Outputs of similar age from International Journal for Equity in Health
#8
of 21 outputs
Altmetric has tracked 25,373,627 research outputs across all sources so far. This one has received more attention than most of these and is in the 71st percentile.
So far Altmetric has tracked 2,222 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 11.4. This one is in the 49th percentile – i.e., 49% 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 289,561 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 75% of its contemporaries.
We're also able to compare this research output to 21 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 57% of its contemporaries.