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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Quantifying the association between ethnicity and COVID-19 mortality: a national cohort study protocol
|
|---|---|
| Published in |
BMJ Open, April 2021
|
| DOI | 10.1136/bmjopen-2020-045286 |
| Pubmed ID | |
| Authors |
Hajira Dambha-Miller, Pui San Tan, Defne Saatci, Ashley Kieran Clift, Francesco Zaccardi, Carol Coupland, Patrick Locufier, Firoza Davies, Kamlesh Khunti, Simon J Griffin, Julia Hippisley-Cox |
X Demographics
The data shown below were collected from the profiles of 17 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 Kingdom | 10 | 59% |
| Unknown | 7 | 41% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 11 | 65% |
| Scientists | 4 | 24% |
| Science communicators (journalists, bloggers, editors) | 1 | 6% |
| Practitioners (doctors, other healthcare professionals) | 1 | 6% |
Mendeley readers
The data shown below were compiled from readership statistics for 32 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 32 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 6 | 19% |
| Student > Master | 5 | 16% |
| Student > Bachelor | 3 | 9% |
| Student > Ph. D. Student | 3 | 9% |
| Lecturer | 1 | 3% |
| Other | 4 | 13% |
| Unknown | 10 | 31% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 11 | 34% |
| Nursing and Health Professions | 4 | 13% |
| Agricultural and Biological Sciences | 2 | 6% |
| Biochemistry, Genetics and Molecular Biology | 1 | 3% |
| Immunology and Microbiology | 1 | 3% |
| Other | 3 | 9% |
| Unknown | 10 | 31% |
Attention Score in Context
This research output has an Altmetric Attention Score of 17. 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 17 April 2021.
All research outputs
#2,117,511
of 25,387,668 outputs
Outputs from BMJ Open
#4,108
of 25,599 outputs
Outputs of similar age
#56,205
of 454,425 outputs
Outputs of similar age from BMJ Open
#119
of 770 outputs
Altmetric has tracked 25,387,668 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 91st percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 25,599 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 18.2. This one has done well, scoring higher than 83% 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 454,425 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 87% of its contemporaries.
We're also able to compare this research output to 770 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 84% of its contemporaries.