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X Demographics
Mendeley readers
Attention Score in Context
Title |
Expert-augmented machine learning
|
---|---|
Published in |
Proceedings of the National Academy of Sciences of the United States of America, February 2020
|
DOI | 10.1073/pnas.1906831117 |
Pubmed ID | |
Authors |
Efstathios D. Gennatas, Jerome H. Friedman, Lyle H. Ungar, Romain Pirracchio, Eric Eaton, Lara G. Reichmann, Yannet Interian, José Marcio Luna, Charles B. Simone, Andrew Auerbach, Elier Delgado, Mark J. van der Laan, Timothy D. Solberg, Gilmer Valdes |
X Demographics
The data shown below were collected from the profiles of 186 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 | 61 | 33% |
Germany | 10 | 5% |
United Kingdom | 9 | 5% |
Canada | 9 | 5% |
Spain | 8 | 4% |
France | 7 | 4% |
Switzerland | 5 | 3% |
Netherlands | 5 | 3% |
Saudi Arabia | 3 | 2% |
Other | 19 | 10% |
Unknown | 50 | 27% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 108 | 58% |
Scientists | 58 | 31% |
Practitioners (doctors, other healthcare professionals) | 18 | 10% |
Science communicators (journalists, bloggers, editors) | 2 | 1% |
Mendeley readers
The data shown below were compiled from readership statistics for 247 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 247 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Researcher | 48 | 19% |
Student > Ph. D. Student | 44 | 18% |
Student > Master | 16 | 6% |
Student > Doctoral Student | 14 | 6% |
Student > Bachelor | 11 | 4% |
Other | 34 | 14% |
Unknown | 80 | 32% |
Readers by discipline | Count | As % |
---|---|---|
Computer Science | 43 | 17% |
Medicine and Dentistry | 18 | 7% |
Engineering | 17 | 7% |
Agricultural and Biological Sciences | 9 | 4% |
Chemistry | 6 | 2% |
Other | 59 | 24% |
Unknown | 95 | 38% |
Attention Score in Context
This research output has an Altmetric Attention Score of 104. 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 January 2022.
All research outputs
#411,718
of 25,708,267 outputs
Outputs from Proceedings of the National Academy of Sciences of the United States of America
#7,356
of 103,588 outputs
Outputs of similar age
#10,698
of 383,967 outputs
Outputs of similar age from Proceedings of the National Academy of Sciences of the United States of America
#143
of 932 outputs
Altmetric has tracked 25,708,267 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 98th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 103,588 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 39.6. This one has done particularly well, scoring higher than 92% 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 383,967 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 97% of its contemporaries.
We're also able to compare this research output to 932 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.