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X Demographics
Mendeley readers
Attention Score in Context
| Title |
The promise of record linkage for assessing the uptake of health services in resource constrained settings: a pilot study from South Africa
|
|---|---|
| Published in |
BMC Medical Research Methodology, May 2014
|
| DOI | 10.1186/1471-2288-14-71 |
| Pubmed ID | |
| Authors |
Chodziwadziwa W Kabudula, Benjamin D Clark, Francesc Xavier Gómez-Olivé, Stephen Tollman, Jane Menken, Georges Reniers |
| Abstract |
Health and Demographic Surveillance Systems (HDSS) have been instrumental in advancing population and health research in low- and middle- income countries where vital registration systems are often weak. However, the utility of HDSS would be enhanced if their databases could be linked with those of local health facilities. We assess the feasibility of record linkage in rural South Africa using data from the Agincourt HDSS and a local health facility. |
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 % |
|---|---|---|
| Unknown | 2 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 1 | 50% |
| Scientists | 1 | 50% |
Mendeley readers
The data shown below were compiled from readership statistics for 98 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 2 | 2% |
| South Africa | 2 | 2% |
| Australia | 1 | 1% |
| Unknown | 93 | 95% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 21 | 21% |
| Student > Master | 19 | 19% |
| Student > Ph. D. Student | 13 | 13% |
| Student > Postgraduate | 8 | 8% |
| Other | 7 | 7% |
| Other | 15 | 15% |
| Unknown | 15 | 15% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 24 | 24% |
| Nursing and Health Professions | 13 | 13% |
| Computer Science | 11 | 11% |
| Social Sciences | 9 | 9% |
| Economics, Econometrics and Finance | 5 | 5% |
| Other | 14 | 14% |
| Unknown | 22 | 22% |
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 16 June 2014.
All research outputs
#15,301,754
of 22,757,090 outputs
Outputs from BMC Medical Research Methodology
#1,504
of 2,008 outputs
Outputs of similar age
#132,670
of 226,407 outputs
Outputs of similar age from BMC Medical Research Methodology
#23
of 30 outputs
Altmetric has tracked 22,757,090 research outputs across all sources so far. This one is in the 22nd percentile – i.e., 22% of other outputs scored the same or lower than it.
So far Altmetric has tracked 2,008 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 10.2. This one is in the 16th percentile – i.e., 16% 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 226,407 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 31st percentile – i.e., 31% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 30 others from the same source and published within six weeks on either side of this one. This one is in the 20th percentile – i.e., 20% of its contemporaries scored the same or lower than it.