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Twitter Demographics
Mendeley readers
Attention Score in Context
| Title |
AVADAR (Auto-Visual AFP Detection and Reporting): demonstration of a novel SMS-based smartphone application to improve acute flaccid paralysis (AFP) surveillance in Nigeria
|
|---|---|
| Published in |
BMC Public Health, December 2018
|
| DOI | 10.1186/s12889-018-6187-x |
| Pubmed ID | |
| Authors |
Faisal M. B. Shuaib, Philip F. Musa, Sisay Tegegne Gashu, Chima Onoka, Salihu Abdullahi Ahmed, Murtala Bagana, Michael Galway, Fiona Braka, Ticha Johnson Muluh, Richard Banda, Godwin Akpan, Ajiboye Tunji, Umar Kabo Idris, Adedolapo Olusoga, Patrick Briand, Nwanyibuife Obiako, Tonia Nebechukwu, Pascal Mkanda |
Twitter Demographics
The data shown below were collected from the profiles of 23 tweeters who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Nigeria | 11 | 48% |
| United Kingdom | 2 | 9% |
| France | 1 | 4% |
| United States | 1 | 4% |
| Unknown | 8 | 35% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 19 | 83% |
| Practitioners (doctors, other healthcare professionals) | 4 | 17% |
Mendeley readers
The data shown below were compiled from readership statistics for 51 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 51 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Bachelor | 8 | 16% |
| Student > Master | 8 | 16% |
| Researcher | 8 | 16% |
| Student > Ph. D. Student | 3 | 6% |
| Lecturer | 2 | 4% |
| Other | 5 | 10% |
| Unknown | 17 | 33% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 9 | 18% |
| Nursing and Health Professions | 5 | 10% |
| Computer Science | 3 | 6% |
| Psychology | 3 | 6% |
| Immunology and Microbiology | 2 | 4% |
| Other | 4 | 8% |
| Unknown | 25 | 49% |
Attention Score in Context
This research output has an Altmetric Attention Score of 19. 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 25 October 2019.
All research outputs
#1,853,566
of 24,278,128 outputs
Outputs from BMC Public Health
#2,079
of 16,003 outputs
Outputs of similar age
#42,643
of 444,722 outputs
Outputs of similar age from BMC Public Health
#53
of 276 outputs
Altmetric has tracked 24,278,128 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 92nd percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 16,003 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 14.4. This one has done well, scoring higher than 87% 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 444,722 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 90% of its contemporaries.
We're also able to compare this research output to 276 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 81% of its contemporaries.