The data shown below were collected from the profiles of 39 X users who shared this research output. Click here to find out more about how the information was compiled.
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Timeline
X Demographics
Mendeley readers
Attention Score in Context
Title |
Reinforcement Learning in Modern Biostatistics: Constructing Optimal Adaptive Interventions
|
---|---|
Published in |
arXiv, March 2022
|
DOI | 10.1111/insr.12583 |
Authors |
Nina Deliu, Joseph Jay Williams, Bibhas Chakraborty |
X Demographics
Geographical breakdown
Country | Count | As % |
---|---|---|
United States | 4 | 10% |
Italy | 2 | 5% |
France | 2 | 5% |
India | 2 | 5% |
Ecuador | 1 | 3% |
Indonesia | 1 | 3% |
Canada | 1 | 3% |
Japan | 1 | 3% |
United Kingdom | 1 | 3% |
Other | 2 | 5% |
Unknown | 22 | 56% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 28 | 72% |
Scientists | 11 | 28% |
Mendeley readers
The data shown below were compiled from readership statistics for 16 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 16 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 3 | 19% |
Student > Doctoral Student | 2 | 13% |
Researcher | 2 | 13% |
Student > Master | 2 | 13% |
Lecturer | 1 | 6% |
Other | 0 | 0% |
Unknown | 6 | 38% |
Readers by discipline | Count | As % |
---|---|---|
Mathematics | 4 | 25% |
Computer Science | 3 | 19% |
Biochemistry, Genetics and Molecular Biology | 1 | 6% |
Medicine and Dentistry | 1 | 6% |
Neuroscience | 1 | 6% |
Other | 0 | 0% |
Unknown | 6 | 38% |
Attention Score in Context
This research output has an Altmetric Attention Score of 24. 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 02 August 2024.
All research outputs
#1,712,357
of 26,559,802 outputs
Outputs from arXiv
#26,236
of 1,008,661 outputs
Outputs of similar age
#40,473
of 456,340 outputs
Outputs of similar age from arXiv
#737
of 27,341 outputs
Altmetric has tracked 26,559,802 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 1,008,661 research outputs from this source. They receive a mean Attention Score of 4.2. This one has done particularly well, scoring higher than 97% 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 456,340 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 91% of its contemporaries.
We're also able to compare this research output to 27,341 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 97% of its contemporaries.