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Twitter Demographics
Mendeley readers
Attention Score in Context
| Title |
Quantifying the Impact of Influenza Among Persons With Type 2 Diabetes Mellitus: A New Approach to Determine Medical and Physical Activity Impact
|
|---|---|
| Published in |
Journal of Diabetes Science and Technology, November 2019
|
| DOI | 10.1177/1932296819883340 |
| Pubmed ID | |
| Authors |
Sandrine I. Samson, Kevin Konty, Wei-Nchih Lee, Tom Quisel, Luca Foschini, David Kerr, Jan Liska, Henry Mills, Rosalind Hollingsworth, Michael Greenberg, Anne C. Beal |
Twitter Demographics
The data shown below were collected from the profiles of 4 tweeters who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| France | 1 | 25% |
| United States | 1 | 25% |
| Unknown | 2 | 50% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 3 | 75% |
| Scientists | 1 | 25% |
Mendeley readers
The data shown below were compiled from readership statistics for 58 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 58 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 12 | 21% |
| Student > Ph. D. Student | 6 | 10% |
| Researcher | 5 | 9% |
| Student > Bachelor | 5 | 9% |
| Other | 2 | 3% |
| Other | 3 | 5% |
| Unknown | 25 | 43% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 12 | 21% |
| Nursing and Health Professions | 6 | 10% |
| Biochemistry, Genetics and Molecular Biology | 4 | 7% |
| Unspecified | 2 | 3% |
| Immunology and Microbiology | 1 | 2% |
| Other | 5 | 9% |
| Unknown | 28 | 48% |
Attention Score in Context
This research output has an Altmetric Attention Score of 20. 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 11 March 2023.
All research outputs
#1,654,630
of 23,510,717 outputs
Outputs from Journal of Diabetes Science and Technology
#128
of 1,591 outputs
Outputs of similar age
#41,189
of 460,071 outputs
Outputs of similar age from Journal of Diabetes Science and Technology
#8
of 29 outputs
Altmetric has tracked 23,510,717 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 1,591 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 12.7. This one has done particularly well, scoring higher than 91% 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 460,071 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 91% of its contemporaries.
We're also able to compare this research output to 29 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 72% of its contemporaries.