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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Using short-message-service notification as a method to improve acute flaccid paralysis surveillance in Papua New Guinea
|
|---|---|
| Published in |
BMC Public Health, May 2016
|
| DOI | 10.1186/s12889-016-3062-5 |
| Pubmed ID | |
| Authors |
Siddhartha Sankar Datta, Berry Ropa, Gerard Pai Sui, Ramzi Khattar, Ravi Shankar Santhana Gopala Krishnan, Hiromasa Okayasu |
| Abstract |
High quality acute flaccid paralysis (AFP) surveillance is required to maintain polio-free status of a country. Papua New Guinea (PNG) is considered as one of the highest risk countries for polio re-importation and circulation in the Western Pacific Region (WPRO) of the World Health Organization due to poor healthcare infrastructure and inadequate performance in AFP surveillance. The Government of PNG, in collaboration with WHO, piloted the introduction of short-message-service (SMS) to sensitize pediatricians and provincial disease control officers on AFP and to receive notification of possible AFP cases to improve surveillance quality in PNG. Ninety six health care professionals were registered to receive SMS reminders to report any case of acute flaccid paralysis. Fourteen SMS messages were sent to each participant from September 2012 to November 2013. The number of reported AFP cases were compared before and after the introduction of SMS. Two hundred fifty three unique responses were received with an overall response rate of 21 %. More than 80 % of responses were reported within 3 days of sending the SMS. The number of reported AFP cases increased from 10 cases per year in 2009-2012 to 25 cases per year during the study period and correlated with provincial participation of the health care professionals. Combined with improved sensitization of health care professionals on AFP reporting criteria and sample collection, SMS messaging provides an effective means to increase timely reporting and improve the availability of epidemiologic information on polio surveillance in PNG. |
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 % |
|---|---|---|
| United States | 2 | 67% |
| United Kingdom | 1 | 33% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 2 | 67% |
| Practitioners (doctors, other healthcare professionals) | 1 | 33% |
Mendeley readers
The data shown below were compiled from readership statistics for 233 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 233 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 34 | 15% |
| Student > Master | 33 | 14% |
| Researcher | 28 | 12% |
| Student > Doctoral Student | 18 | 8% |
| Student > Bachelor | 18 | 8% |
| Other | 38 | 16% |
| Unknown | 64 | 27% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 43 | 18% |
| Social Sciences | 36 | 15% |
| Business, Management and Accounting | 31 | 13% |
| Medicine and Dentistry | 13 | 6% |
| Nursing and Health Professions | 9 | 4% |
| Other | 27 | 12% |
| Unknown | 74 | 32% |
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 14 September 2017.
All research outputs
#13,779,710
of 22,875,477 outputs
Outputs from BMC Public Health
#9,952
of 14,916 outputs
Outputs of similar age
#172,712
of 326,829 outputs
Outputs of similar age from BMC Public Health
#133
of 175 outputs
Altmetric has tracked 22,875,477 research outputs across all sources so far. This one is in the 38th percentile – i.e., 38% of other outputs scored the same or lower than it.
So far Altmetric has tracked 14,916 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 13.9. This one is in the 32nd percentile – i.e., 32% 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 326,829 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 46th percentile – i.e., 46% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 175 others from the same source and published within six weeks on either side of this one. This one is in the 24th percentile – i.e., 24% of its contemporaries scored the same or lower than it.