| Title |
Assessing differential impacts of COVID-19 on black communities
|
|---|---|
| Published in |
Annals of Epidemiology, May 2020
|
| DOI | 10.1016/j.annepidem.2020.05.003 |
| Pubmed ID | |
| Authors |
Gregorio A. Millett, Austin T. Jones, David Benkeser, Stefan Baral, Laina Mercer, Chris Beyrer, Brian Honermann, Elise Lankiewicz, Leandro Mena, Jeffrey S. Crowley, Jennifer Sherwood, Patrick S. Sullivan |
X Demographics
The data shown below were collected from the profiles of 97 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 | 36 | 37% |
| Canada | 10 | 10% |
| United Kingdom | 2 | 2% |
| Japan | 1 | 1% |
| Djibouti | 1 | 1% |
| Bosnia and Herzegovina | 1 | 1% |
| Australia | 1 | 1% |
| Italy | 1 | 1% |
| Switzerland | 1 | 1% |
| Other | 3 | 3% |
| Unknown | 40 | 41% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 70 | 72% |
| Scientists | 17 | 18% |
| Practitioners (doctors, other healthcare professionals) | 7 | 7% |
| Science communicators (journalists, bloggers, editors) | 3 | 3% |
Mendeley readers
The data shown below were compiled from readership statistics for 936 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 936 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 111 | 12% |
| Student > Ph. D. Student | 105 | 11% |
| Student > Master | 92 | 10% |
| Student > Bachelor | 91 | 10% |
| Student > Doctoral Student | 62 | 7% |
| Other | 177 | 19% |
| Unknown | 298 | 32% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 139 | 15% |
| Social Sciences | 128 | 14% |
| Nursing and Health Professions | 70 | 7% |
| Psychology | 43 | 5% |
| Agricultural and Biological Sciences | 25 | 3% |
| Other | 180 | 19% |
| Unknown | 351 | 38% |
Attention Score in Context
This research output has an Altmetric Attention Score of 977. 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 June 2023.
All research outputs
#17,083
of 25,768,270 outputs
Outputs from Annals of Epidemiology
#2
of 2,048 outputs
Outputs of similar age
#869
of 422,293 outputs
Outputs of similar age from Annals of Epidemiology
#1
of 26 outputs
Altmetric has tracked 25,768,270 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 2,048 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 16.8. 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 422,293 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 26 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.