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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Ethnic heterogeneity in the determinants of HIV/AIDS stigma and discrimination among Nigeria women
|
|---|---|
| Published in |
BMC Public Health, June 2018
|
| DOI | 10.1186/s12889-018-5668-2 |
| Pubmed ID | |
| Authors |
Clifford O. Odimegwu, Olatunji Alabi, Nicole De Wet, Joshua O. Akinyemi |
| Abstract |
Stigma and discrimination remains a barrier to uptake of HIV/AIDS counselling and treatment as well as effective HIV reduction programmes. Despite ethnic diversity of Nigeria, studies on determinants of HIV stigma incorporating the ethnic dimension are very few. This paper provides empirical explanation of the ethnic dimension of determinant of HIV stigma and discrimination in Nigeria. Nationally representative data from Nigerian Demographic and Health Survey 2013 (Individual recode) was analysed to explore ethnic differentials and homogeneity in the determinants of HIV/AIDS stigma and discrimination among women in multi-ethnic Nigeria. Result shows that determinants of HIV stigma and discrimination varies by ethnicity in Nigeria. Significant ethnic differentials in HIV/AIDS stigma and discrimination by Secondary school education exist among Hausa and Igbo respectively (OR = 0.79; CI: 1.49-2.28 and OR=1.62; CI: 1.18-2.23, p<0.05). Wealth status significantly influenced HIIV/AIDS stigma and discrimination among Hausa, Igbo and Yoruba ethnic groups (p<0.05). Knowledge of HIV/AIDS was significantly associated with lower odds of discriminating attitudes among the Hausa and Fulani ethnic groups (OR = 0.45; CI: 0.30-0.67 and OR=0.36; CI: 0.16-0.83, p<0.05). Identifying ethnic differential and homogeneity in predictors of HIV/AIDS stigma is key to reducing HIV/AIDS prevalence in Nigeria and countries with similar settings. |
X Demographics
The data shown below were collected from the profiles of 3 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| South Africa | 2 | 67% |
| United States | 1 | 33% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 2 | 67% |
| Scientists | 1 | 33% |
Mendeley readers
The data shown below were compiled from readership statistics for 126 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 126 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Bachelor | 18 | 14% |
| Student > Master | 17 | 13% |
| Student > Ph. D. Student | 9 | 7% |
| Researcher | 7 | 6% |
| Student > Postgraduate | 7 | 6% |
| Other | 20 | 16% |
| Unknown | 48 | 38% |
| Readers by discipline | Count | As % |
|---|---|---|
| Nursing and Health Professions | 30 | 24% |
| Social Sciences | 12 | 10% |
| Medicine and Dentistry | 11 | 9% |
| Psychology | 6 | 5% |
| Pharmacology, Toxicology and Pharmaceutical Science | 2 | 2% |
| Other | 9 | 7% |
| Unknown | 56 | 44% |
Attention Score in Context
This research output has an Altmetric Attention Score of 2. 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 03 July 2019.
All research outputs
#14,417,376
of 23,090,520 outputs
Outputs from BMC Public Health
#10,476
of 15,054 outputs
Outputs of similar age
#185,283
of 328,030 outputs
Outputs of similar age from BMC Public Health
#259
of 316 outputs
Altmetric has tracked 23,090,520 research outputs across all sources so far. This one is in the 35th percentile – i.e., 35% of other outputs scored the same or lower than it.
So far Altmetric has tracked 15,054 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 14.0. This one is in the 27th percentile – i.e., 27% 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 328,030 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 40th percentile – i.e., 40% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 316 others from the same source and published within six weeks on either side of this one. This one is in the 16th percentile – i.e., 16% of its contemporaries scored the same or lower than it.