The data shown below were collected from the profiles of 45 X users who shared this research output. Click here to find out more about how the information was compiled.
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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Big Data, Data Science, and Causal Inference: A Primer for Clinicians
|
|---|---|
| Published in |
Frontiers in Medicine, July 2021
|
| DOI | 10.3389/fmed.2021.678047 |
| Pubmed ID | |
| Authors |
Yoshihiko Raita, Carlos A. Camargo, Liming Liang, Kohei Hasegawa |
X Demographics
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 3 | 7% |
| Spain | 3 | 7% |
| Italy | 2 | 4% |
| Colombia | 1 | 2% |
| Algeria | 1 | 2% |
| South Africa | 1 | 2% |
| Egypt | 1 | 2% |
| Vietnam | 1 | 2% |
| Japan | 1 | 2% |
| Other | 0 | 0% |
| Unknown | 31 | 69% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 33 | 73% |
| Scientists | 8 | 18% |
| Practitioners (doctors, other healthcare professionals) | 2 | 4% |
| Science communicators (journalists, bloggers, editors) | 2 | 4% |
Mendeley readers
The data shown below were compiled from readership statistics for 75 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 75 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Other | 11 | 15% |
| Student > Ph. D. Student | 7 | 9% |
| Researcher | 7 | 9% |
| Student > Master | 7 | 9% |
| Student > Bachelor | 6 | 8% |
| Other | 15 | 20% |
| Unknown | 22 | 29% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 17 | 23% |
| Computer Science | 5 | 7% |
| Nursing and Health Professions | 3 | 4% |
| Biochemistry, Genetics and Molecular Biology | 3 | 4% |
| Engineering | 3 | 4% |
| Other | 19 | 25% |
| Unknown | 25 | 33% |
Attention Score in Context
This research output has an Altmetric Attention Score of 22. 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 23 August 2022.
All research outputs
#1,789,657
of 26,522,299 outputs
Outputs from Frontiers in Medicine
#505
of 7,628 outputs
Outputs of similar age
#42,288
of 455,630 outputs
Outputs of similar age from Frontiers in Medicine
#38
of 445 outputs
Altmetric has tracked 26,522,299 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 93rd percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 7,628 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 14.5. This one has done particularly well, scoring higher than 93% 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 455,630 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 90% of its contemporaries.
We're also able to compare this research output to 445 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.