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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Evaluating an app-guided self-test for influenza: lessons learned for improving the feasibility of study designs to evaluate self-tests for respiratory viruses
|
|---|---|
| Published in |
BMC Infectious Diseases, June 2021
|
| DOI | 10.1186/s12879-021-06314-1 |
| Pubmed ID | |
| Authors |
Monica L. Zigman Suchsland, Ivan Rahmatullah, Barry Lutz, Victoria Lyon, Shichu Huang, Enos Kline, Chelsey Graham, Shawna Cooper, Philip Su, Sam Smedinghoff, Helen Y. Chu, Kara Sewalk, John S. Brownstein, Matthew J. Thompson |
X Demographics
The data shown below were collected from the profiles of 6 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 | 33% |
| Unknown | 4 | 67% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 6 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 16 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 16 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 3 | 19% |
| Student > Master | 2 | 13% |
| Librarian | 1 | 6% |
| Researcher | 1 | 6% |
| Student > Bachelor | 1 | 6% |
| Other | 1 | 6% |
| Unknown | 7 | 44% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 2 | 13% |
| Environmental Science | 1 | 6% |
| Biochemistry, Genetics and Molecular Biology | 1 | 6% |
| Philosophy | 1 | 6% |
| Agricultural and Biological Sciences | 1 | 6% |
| Other | 3 | 19% |
| Unknown | 7 | 44% |
Attention Score in Context
This research output has an Altmetric Attention Score of 5. 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 13 July 2021.
All research outputs
#6,445,089
of 23,308,124 outputs
Outputs from BMC Infectious Diseases
#2,000
of 7,804 outputs
Outputs of similar age
#134,868
of 442,452 outputs
Outputs of similar age from BMC Infectious Diseases
#76
of 233 outputs
Altmetric has tracked 23,308,124 research outputs across all sources so far. This one has received more attention than most of these and is in the 72nd percentile.
So far Altmetric has tracked 7,804 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 10.3. This one has gotten more attention than average, scoring higher than 74% 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 442,452 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 69% of its contemporaries.
We're also able to compare this research output to 233 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 67% of its contemporaries.