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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Geographic information system for improving maternal and newborn health: recommendations for policy and programs
|
|---|---|
| Published in |
BMC Pregnancy and Childbirth, January 2017
|
| DOI | 10.1186/s12884-016-1199-y |
| Pubmed ID | |
| Authors |
Yordanos B. Molla, Barbara Rawlins, Prestige Tatenda Makanga, Marc Cunningham, Juan Eugenio Hernández Ávila, Corrine Warren Ruktanonchai, Kavita Singh, Sylvia Alford, Mira Thompson, Vikas Dwivedi, Allisyn C. Moran, Zoe Matthews |
| Abstract |
This correspondence argues and offers recommendations for how Geographic Information System (GIS) applied to maternal and newborn health data could potentially be used as part of the broader efforts for ending preventable maternal and newborn mortality. These recommendations were generated from a technical consultation on reporting and mapping maternal deaths that was held in Washington, DC from January 12 to 13, 2015 and hosted by the United States Agency for International Development's (USAID) global Maternal and Child Survival Program (MCSP). Approximately 72 participants from over 25 global health organizations, government agencies, donors, universities, and other groups participated in the meeting.The meeting placed emphases on how improved use of mapping could contribute to the post-2015 United Nation's Sustainable Development Goals (SDGs), agenda in general and to contribute to better maternal and neonatal health outcomes in particular. Researchers and policy makers have been calling for more equitable improvement in Maternal and Newborn Health (MNH), specifically addressing hard-to-reach populations at sub-national levels. Data visualization using mapping and geospatial analyses play a significant role in addressing the emerging need for improved spatial investigation at subnational scale. This correspondence identifies key challenges and recommendations so GIS may be better applied to maternal health programs in resource poor settings. The challenges and recommendations are broadly grouped into three categories: ancillary geospatial and MNH data sources, technical and human resources needs and community participation. |
X Demographics
The data shown below were collected from the profiles of 4 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 | 2 | 50% |
| Unknown | 2 | 50% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 3 | 75% |
| Scientists | 1 | 25% |
Mendeley readers
The data shown below were compiled from readership statistics for 180 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United Kingdom | 1 | <1% |
| Kenya | 1 | <1% |
| Unknown | 178 | 99% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 32 | 18% |
| Researcher | 22 | 12% |
| Student > Ph. D. Student | 21 | 12% |
| Student > Bachelor | 13 | 7% |
| Other | 10 | 6% |
| Other | 32 | 18% |
| Unknown | 50 | 28% |
| Readers by discipline | Count | As % |
|---|---|---|
| Nursing and Health Professions | 32 | 18% |
| Social Sciences | 28 | 16% |
| Medicine and Dentistry | 22 | 12% |
| Computer Science | 9 | 5% |
| Business, Management and Accounting | 8 | 4% |
| Other | 29 | 16% |
| Unknown | 52 | 29% |
Attention Score in Context
This research output has an Altmetric Attention Score of 4. 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 April 2017.
All research outputs
#7,811,110
of 25,019,915 outputs
Outputs from BMC Pregnancy and Childbirth
#2,121
of 4,664 outputs
Outputs of similar age
#136,026
of 433,004 outputs
Outputs of similar age from BMC Pregnancy and Childbirth
#36
of 69 outputs
Altmetric has tracked 25,019,915 research outputs across all sources so far. This one has received more attention than most of these and is in the 67th percentile.
So far Altmetric has tracked 4,664 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 9.2. This one has gotten more attention than average, scoring higher than 53% 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 433,004 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 67% of its contemporaries.
We're also able to compare this research output to 69 others from the same source and published within six weeks on either side of this one. This one is in the 46th percentile – i.e., 46% of its contemporaries scored the same or lower than it.