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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Performance of eHealth Data Sources in Local Influenza Surveillance: A 5-Year Open Cohort Study
|
|---|---|
| Published in |
Journal of Medical Internet Research, April 2014
|
| DOI | 10.2196/jmir.3099 |
| Pubmed ID | |
| Authors |
Toomas Timpka, Armin Spreco, Örjan Dahlström, Olle Eriksson, Elin Gursky, Joakim Ekberg, Eva Blomqvist, Magnus Strömgren, David Karlsson, Henrik Eriksson, James Nyce, Jorma Hinkula, Einar Holm |
| Abstract |
There is abundant global interest in using syndromic data from population-wide health information systems--referred to as eHealth resources--to improve infectious disease surveillance. Recently, the necessity for these systems to achieve two potentially conflicting requirements has been emphasized. First, they must be evidence-based; second, they must be adjusted for the diversity of populations, lifestyles, and environments. |
X Demographics
The data shown below were collected from the profiles of 8 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 | 1 | 13% |
| Sweden | 1 | 13% |
| Germany | 1 | 13% |
| Netherlands | 1 | 13% |
| Unknown | 4 | 50% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 6 | 75% |
| Scientists | 1 | 13% |
| Practitioners (doctors, other healthcare professionals) | 1 | 13% |
Mendeley readers
The data shown below were compiled from readership statistics for 95 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Canada | 1 | 1% |
| Switzerland | 1 | 1% |
| Saudi Arabia | 1 | 1% |
| Unknown | 92 | 97% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 19 | 20% |
| Researcher | 13 | 14% |
| Student > Ph. D. Student | 9 | 9% |
| Other | 8 | 8% |
| Student > Doctoral Student | 6 | 6% |
| Other | 20 | 21% |
| Unknown | 20 | 21% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 21 | 22% |
| Computer Science | 11 | 12% |
| Social Sciences | 8 | 8% |
| Nursing and Health Professions | 6 | 6% |
| Immunology and Microbiology | 4 | 4% |
| Other | 19 | 20% |
| Unknown | 26 | 27% |
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 10 May 2014.
All research outputs
#7,357,897
of 25,377,790 outputs
Outputs from Journal of Medical Internet Research
#4,625
of 7,867 outputs
Outputs of similar age
#66,817
of 242,073 outputs
Outputs of similar age from Journal of Medical Internet Research
#60
of 69 outputs
Altmetric has tracked 25,377,790 research outputs across all sources so far. This one has received more attention than most of these and is in the 69th percentile.
So far Altmetric has tracked 7,867 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 19.8. This one is in the 40th percentile – i.e., 40% 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 242,073 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 71% 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 13th percentile – i.e., 13% of its contemporaries scored the same or lower than it.