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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Determinants of Women Consulting with a Complementary and Alternative Medicine Practitioner for Pregnancy-Related Health Conditions
|
|---|---|
| Published in |
Women & Health, March 2014
|
| DOI | 10.1080/03630242.2013.876488 |
| Pubmed ID | |
| Authors |
Amie Steel, Jon Adams, David Sibbritt, Alex Broom, Cindy Gallois, Jane Frawley |
| Abstract |
Abstract Objective: To explore the determinants that are related to women's likelihood to consult with a complementary and alternative medicine (CAM) practitioner during pregnancy. Study setting: Primary data collected as a sub-study of the Australian Longitudinal Study on Women's Health (ALSWH) in 2010. Study design: A cross-sectional survey of 2445 women from the ALSWH 'younger' cohort (n=8012) who had identified as being pregnant or had recently given birth in 2009. Data collection/extraction: Independent Poisson backwards stepwise regression models were applied to four CAM practitioner outcome categories: acupuncturist, chiropractor, massage therapist and naturopath. Principal findings: The survey was completed by 1835 women (79.2%). The factors associated with women's consultation with a CAM practitioner differed by practitioner groups. A range of demographic factors were related, including employment status, financial status and level of education. Women's health insurance coverage, health status, and perceptions toward both conventional maternity care and CAM were also associated with their likelihood of consultations with all practitioner groups but in diverse ways. Conclusions: The determinants for women's consultations with a CAM practitioner varied across practitioner groups. Stakeholders and researchers would benefit from giving attention to specific individual modalities when considering CAM use in maternity care. |
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 % |
|---|---|---|
| Australia | 2 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 1 | 50% |
| Members of the public | 1 | 50% |
Mendeley readers
The data shown below were compiled from readership statistics for 60 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Spain | 1 | 2% |
| Unknown | 59 | 98% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Bachelor | 15 | 25% |
| Student > Master | 14 | 23% |
| Student > Postgraduate | 4 | 7% |
| Professor > Associate Professor | 4 | 7% |
| Student > Ph. D. Student | 4 | 7% |
| Other | 9 | 15% |
| Unknown | 10 | 17% |
| Readers by discipline | Count | As % |
|---|---|---|
| Nursing and Health Professions | 19 | 32% |
| Medicine and Dentistry | 12 | 20% |
| Pharmacology, Toxicology and Pharmaceutical Science | 5 | 8% |
| Psychology | 3 | 5% |
| Agricultural and Biological Sciences | 2 | 3% |
| Other | 7 | 12% |
| Unknown | 12 | 20% |
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 18 November 2014.
All research outputs
#17,286,379
of 25,374,647 outputs
Outputs from Women & Health
#565
of 785 outputs
Outputs of similar age
#142,446
of 235,693 outputs
Outputs of similar age from Women & Health
#4
of 8 outputs
Altmetric has tracked 25,374,647 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 785 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 9.0. This one is in the 17th percentile – i.e., 17% 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 235,693 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 29th percentile – i.e., 29% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 8 others from the same source and published within six weeks on either side of this one. This one has scored higher than 4 of them.