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X Demographics
Mendeley readers
Attention Score in Context
| Title |
The impact of COVID-19 vaccination prior to SARS-CoV-2 infection on prevalence of long COVID among a population-based probability sample of Michiganders, 2020-2022
|
|---|---|
| Published in |
Annals of Epidemiology, February 2024
|
| DOI | 10.1016/j.annepidem.2024.02.007 |
| Pubmed ID | |
| Authors |
Colleen MacCallum-Bridges, Jana L Hirschtick, Akash Patel, Robert C Orellana, Michael R Elliott, Nancy L Fleischer |
X Demographics
The data shown below were collected from the profiles of 274 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 | 42 | 15% |
| Japan | 21 | 8% |
| Poland | 8 | 3% |
| Sweden | 7 | 3% |
| Canada | 5 | 2% |
| United Kingdom | 4 | 1% |
| Germany | 3 | 1% |
| France | 2 | <1% |
| Côte d'Ivoire | 2 | <1% |
| Other | 16 | 6% |
| Unknown | 164 | 60% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 240 | 88% |
| Scientists | 19 | 7% |
| Practitioners (doctors, other healthcare professionals) | 11 | 4% |
| Science communicators (journalists, bloggers, editors) | 4 | 1% |
Mendeley readers
The data shown below were compiled from readership statistics for 10 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 10 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Professor | 2 | 20% |
| Librarian | 1 | 10% |
| Student > Master | 1 | 10% |
| Unknown | 6 | 60% |
| Readers by discipline | Count | As % |
|---|---|---|
| Veterinary Science and Veterinary Medicine | 1 | 10% |
| Nursing and Health Professions | 1 | 10% |
| Medicine and Dentistry | 1 | 10% |
| Unknown | 7 | 70% |
Attention Score in Context
This research output has an Altmetric Attention Score of 195. 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 29 May 2024.
All research outputs
#210,649
of 26,061,338 outputs
Outputs from Annals of Epidemiology
#40
of 2,062 outputs
Outputs of similar age
#3,162
of 347,678 outputs
Outputs of similar age from Annals of Epidemiology
#1
of 12 outputs
Altmetric has tracked 26,061,338 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 99th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 2,062 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 16.5. This one has done particularly well, scoring higher than 98% 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 347,678 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 99% of its contemporaries.
We're also able to compare this research output to 12 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 91% of its contemporaries.