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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Using syndromic measures of mortality to capture the dynamics of COVID-19 in Java, Indonesia, in the context of vaccination rollout
|
|---|---|
| Published in |
BMC Medicine, June 2021
|
| DOI | 10.1186/s12916-021-02016-2 |
| Pubmed ID | |
| Authors |
Bimandra A. Djaafara, Charles Whittaker, Oliver J. Watson, Robert Verity, Nicholas F. Brazeau, Widyastuti, Dwi Oktavia, Verry Adrian, Ngabila Salama, Sangeeta Bhatia, Pierre Nouvellet, Ellie Sherrard-Smith, Thomas S. Churcher, Henry Surendra, Rosa N. Lina, Lenny L. Ekawati, Karina D. Lestari, Adhi Andrianto, Guy Thwaites, J. Kevin Baird, Azra C. Ghani, Iqbal R. F. Elyazar, Patrick G. T. Walker |
X Demographics
The data shown below were collected from the profiles of 60 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Indonesia | 23 | 38% |
| United Kingdom | 2 | 3% |
| Australia | 1 | 2% |
| Netherlands | 1 | 2% |
| Congo, The Democratic Republic of the | 1 | 2% |
| Singapore | 1 | 2% |
| Unknown | 31 | 52% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 49 | 82% |
| Practitioners (doctors, other healthcare professionals) | 6 | 10% |
| Scientists | 5 | 8% |
Mendeley readers
The data shown below were compiled from readership statistics for 102 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 102 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 15 | 15% |
| Student > Master | 10 | 10% |
| Student > Ph. D. Student | 6 | 6% |
| Student > Bachelor | 6 | 6% |
| Lecturer > Senior Lecturer | 3 | 3% |
| Other | 10 | 10% |
| Unknown | 52 | 51% |
| Readers by discipline | Count | As % |
|---|---|---|
| Nursing and Health Professions | 10 | 10% |
| Medicine and Dentistry | 8 | 8% |
| Economics, Econometrics and Finance | 4 | 4% |
| Agricultural and Biological Sciences | 4 | 4% |
| Biochemistry, Genetics and Molecular Biology | 3 | 3% |
| Other | 17 | 17% |
| Unknown | 56 | 55% |
Attention Score in Context
This research output has an Altmetric Attention Score of 52. 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 14 May 2022.
All research outputs
#830,829
of 25,722,279 outputs
Outputs from BMC Medicine
#583
of 4,079 outputs
Outputs of similar age
#21,922
of 460,336 outputs
Outputs of similar age from BMC Medicine
#10
of 67 outputs
Altmetric has tracked 25,722,279 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 96th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 4,079 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 45.9. This one has done well, scoring higher than 85% 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 460,336 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 95% of its contemporaries.
We're also able to compare this research output to 67 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 85% of its contemporaries.