Title |
Comparison of crowd-sourced, electronic health records based, and traditional health-care based influenza-tracking systems at multiple spatial resolutions in the United States of America
|
---|---|
Published in |
BMC Infectious Diseases, August 2018
|
DOI | 10.1186/s12879-018-3322-3 |
Pubmed ID | |
Authors |
Kristin Baltrusaitis, John S. Brownstein, Samuel V. Scarpino, Eric Bakota, Adam W. Crawley, Giuseppe Conidi, Julia Gunn, Josh Gray, Anna Zink, Mauricio Santillana |
X Demographics
The data shown below were collected from the profiles of 32 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 | 11 | 34% |
United Kingdom | 3 | 9% |
Italy | 2 | 6% |
Venezuela, Bolivarian Republic of | 2 | 6% |
Canada | 1 | 3% |
Sweden | 1 | 3% |
Brazil | 1 | 3% |
Spain | 1 | 3% |
Unknown | 10 | 31% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 18 | 56% |
Scientists | 10 | 31% |
Practitioners (doctors, other healthcare professionals) | 4 | 13% |
Mendeley readers
The data shown below were compiled from readership statistics for 79 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 79 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 19 | 24% |
Student > Master | 13 | 16% |
Researcher | 11 | 14% |
Other | 3 | 4% |
Student > Bachelor | 3 | 4% |
Other | 10 | 13% |
Unknown | 20 | 25% |
Readers by discipline | Count | As % |
---|---|---|
Medicine and Dentistry | 12 | 15% |
Computer Science | 8 | 10% |
Nursing and Health Professions | 6 | 8% |
Agricultural and Biological Sciences | 4 | 5% |
Social Sciences | 4 | 5% |
Other | 20 | 25% |
Unknown | 25 | 32% |
Attention Score in Context
This research output has an Altmetric Attention Score of 41. 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 06 January 2020.
All research outputs
#1,012,546
of 26,017,215 outputs
Outputs from BMC Infectious Diseases
#232
of 8,702 outputs
Outputs of similar age
#21,108
of 344,418 outputs
Outputs of similar age from BMC Infectious Diseases
#6
of 175 outputs
Altmetric has tracked 26,017,215 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 95th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 8,702 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 10.7. This one has done particularly well, scoring higher than 97% 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 344,418 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 93% of its contemporaries.
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 has done particularly well, scoring higher than 96% of its contemporaries.