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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Causal inference concepts applied to three observational studies in the context of vaccine development: from theory to practice
|
|---|---|
| Published in |
BMC Medical Research Methodology, February 2021
|
| DOI | 10.1186/s12874-021-01220-1 |
| Pubmed ID | |
| Authors |
Emilia Gvozdenović, Lucio Malvisi, Elisa Cinconze, Stijn Vansteelandt, Phoebe Nakanwagi, Emmanuel Aris, Dominique Rosillon |
X Demographics
The data shown below were collected from the profiles of 18 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 | 2 | 11% |
| Canada | 2 | 11% |
| Colombia | 1 | 6% |
| Spain | 1 | 6% |
| Nepal | 1 | 6% |
| Japan | 1 | 6% |
| India | 1 | 6% |
| France | 1 | 6% |
| Unknown | 8 | 44% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 11 | 61% |
| Scientists | 5 | 28% |
| Practitioners (doctors, other healthcare professionals) | 2 | 11% |
Mendeley readers
The data shown below were compiled from readership statistics for 34 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 34 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 6 | 18% |
| Student > Ph. D. Student | 4 | 12% |
| Researcher | 3 | 9% |
| Other | 2 | 6% |
| Professor | 2 | 6% |
| Other | 4 | 12% |
| Unknown | 13 | 38% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 8 | 24% |
| Engineering | 3 | 9% |
| Agricultural and Biological Sciences | 2 | 6% |
| Nursing and Health Professions | 2 | 6% |
| Neuroscience | 1 | 3% |
| Other | 1 | 3% |
| Unknown | 17 | 50% |
Attention Score in Context
This research output has an Altmetric Attention Score of 10. 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 15 May 2021.
All research outputs
#3,431,610
of 25,466,764 outputs
Outputs from BMC Medical Research Methodology
#528
of 2,284 outputs
Outputs of similar age
#100,383
of 558,464 outputs
Outputs of similar age from BMC Medical Research Methodology
#16
of 49 outputs
Altmetric has tracked 25,466,764 research outputs across all sources so far. Compared to these this one has done well and is in the 86th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 2,284 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 10.6. This one has done well, scoring higher than 76% 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 558,464 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 81% of its contemporaries.
We're also able to compare this research output to 49 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 69% of its contemporaries.