The data shown below were collected from the profiles of 209 X users who shared this research output. Click here to find out more about how the information was compiled.
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| Title |
Measuring the COVID-19 Mortality Burden in the United States
|
|---|---|
| Published in |
Annals of Internal Medicine, December 2021
|
| DOI | 10.7326/m21-2239 |
| Pubmed ID | |
| Authors |
Julian Reif, Hanke Heun-Johnson, Bryan Tysinger, Darius Lakdawalla |
X Demographics
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 31 | 15% |
| Germany | 3 | 1% |
| Canada | 3 | 1% |
| France | 2 | <1% |
| United Kingdom | 2 | <1% |
| Spain | 1 | <1% |
| Georgia | 1 | <1% |
| Japan | 1 | <1% |
| Thailand | 1 | <1% |
| Other | 8 | 4% |
| Unknown | 156 | 75% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 166 | 79% |
| Scientists | 23 | 11% |
| Practitioners (doctors, other healthcare professionals) | 15 | 7% |
| Science communicators (journalists, bloggers, editors) | 5 | 2% |
Mendeley readers
The data shown below were compiled from readership statistics for 88 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 88 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 11 | 13% |
| Student > Master | 11 | 13% |
| Student > Bachelor | 9 | 10% |
| Student > Doctoral Student | 4 | 5% |
| Professor | 3 | 3% |
| Other | 11 | 13% |
| Unknown | 39 | 44% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 18 | 20% |
| Nursing and Health Professions | 9 | 10% |
| Social Sciences | 5 | 6% |
| Psychology | 3 | 3% |
| Economics, Econometrics and Finance | 2 | 2% |
| Other | 11 | 13% |
| Unknown | 40 | 45% |
Attention Score in Context
This research output has an Altmetric Attention Score of 338. 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 20 May 2023.
All research outputs
#103,647
of 26,512,081 outputs
Outputs from Annals of Internal Medicine
#539
of 13,774 outputs
Outputs of similar age
#2,985
of 531,323 outputs
Outputs of similar age from Annals of Internal Medicine
#12
of 136 outputs
Altmetric has tracked 26,512,081 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 13,774 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 63.9. This one has done particularly well, scoring higher than 96% 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 531,323 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 136 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.