| Title |
Factors Associated with Post-Acute Sequelae of SARS-CoV-2 (PASC) After Diagnosis of Symptomatic COVID-19 in the Inpatient and Outpatient Setting in a Diverse Cohort
|
|---|---|
| Published in |
Journal of General Internal Medicine, April 2022
|
| DOI | 10.1007/s11606-022-07523-3 |
| Pubmed ID | |
| Authors |
Sun M. Yoo, Teresa C. Liu, Yash Motwani, Myung S. Sim, Nisha Viswanathan, Nathan Samras, Felicia Hsu, Neil S. Wenger |
X Demographics
The data shown below were collected from the profiles of 47 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 | 9 | 19% |
| Spain | 4 | 9% |
| Japan | 1 | 2% |
| Germany | 1 | 2% |
| United Kingdom | 1 | 2% |
| France | 1 | 2% |
| Belgium | 1 | 2% |
| Norway | 1 | 2% |
| Italy | 1 | 2% |
| Other | 1 | 2% |
| Unknown | 26 | 55% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 40 | 85% |
| Scientists | 4 | 9% |
| Practitioners (doctors, other healthcare professionals) | 2 | 4% |
| Science communicators (journalists, bloggers, editors) | 1 | 2% |
Mendeley readers
The data shown below were compiled from readership statistics for 76 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 76 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 10 | 13% |
| Student > Doctoral Student | 6 | 8% |
| Student > Postgraduate | 4 | 5% |
| Researcher | 3 | 4% |
| Professor > Associate Professor | 3 | 4% |
| Other | 8 | 11% |
| Unknown | 42 | 55% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 13 | 17% |
| Nursing and Health Professions | 6 | 8% |
| Neuroscience | 2 | 3% |
| Social Sciences | 2 | 3% |
| Agricultural and Biological Sciences | 1 | 1% |
| Other | 6 | 8% |
| Unknown | 46 | 61% |
Attention Score in Context
This research output has an Altmetric Attention Score of 956. 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 22 July 2023.
All research outputs
#17,538
of 25,643,886 outputs
Outputs from Journal of General Internal Medicine
#11
of 8,231 outputs
Outputs of similar age
#618
of 448,972 outputs
Outputs of similar age from Journal of General Internal Medicine
#1
of 182 outputs
Altmetric has tracked 25,643,886 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 8,231 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 22.3. This one has done particularly well, scoring higher than 99% 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 448,972 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 182 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 99% of its contemporaries.