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X Demographics
Mendeley readers
Attention Score in Context
Title |
Predicting Clinical Diagnosis from Patients Electronic Health Records Using BERT-based Neural Networks
|
---|---|
Published in |
arXiv, July 2020
|
DOI | 10.1007/978-3-030-59137-3_11 |
Authors |
Pavel Blinov, Manvel Avetisian, Vladimir Kokh, Dmitry Umerenkov, Alexander Tuzhilin |
X Demographics
The data shown below were collected from the profiles of 7 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 | 1 | 14% |
Portugal | 1 | 14% |
Unknown | 5 | 71% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 6 | 86% |
Science communicators (journalists, bloggers, editors) | 1 | 14% |
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 | 5 | 16% |
Student > Ph. D. Student | 3 | 9% |
Student > Master | 3 | 9% |
Student > Postgraduate | 2 | 6% |
Student > Bachelor | 2 | 6% |
Other | 4 | 13% |
Unknown | 13 | 41% |
Readers by discipline | Count | As % |
---|---|---|
Computer Science | 9 | 28% |
Engineering | 2 | 6% |
Medicine and Dentistry | 2 | 6% |
Arts and Humanities | 1 | 3% |
Business, Management and Accounting | 1 | 3% |
Other | 3 | 9% |
Unknown | 14 | 44% |
Attention Score in Context
This research output has an Altmetric Attention Score of 5. 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 11 October 2023.
All research outputs
#6,977,357
of 25,515,042 outputs
Outputs from arXiv
#114,031
of 924,684 outputs
Outputs of similar age
#147,052
of 430,060 outputs
Outputs of similar age from arXiv
#3,527
of 25,479 outputs
Altmetric has tracked 25,515,042 research outputs across all sources so far. This one has received more attention than most of these and is in the 72nd percentile.
So far Altmetric has tracked 924,684 research outputs from this source. They receive a mean Attention Score of 4.3. This one has done well, scoring higher than 87% 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 430,060 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 65% of its contemporaries.
We're also able to compare this research output to 25,479 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.