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X Demographics
Mendeley readers
Attention Score in Context
Title |
Dynamic models to predict health outcomes: current status and methodological challenges
|
---|---|
Published in |
Diagnostic and Prognostic Research, December 2018
|
DOI | 10.1186/s41512-018-0045-2 |
Pubmed ID | |
Authors |
David A. Jenkins, Matthew Sperrin, Glen P. Martin, Niels Peek |
X Demographics
The data shown below were collected from the profiles of 24 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 Kingdom | 10 | 42% |
United States | 2 | 8% |
Ecuador | 1 | 4% |
Mexico | 1 | 4% |
Colombia | 1 | 4% |
Unknown | 9 | 38% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 17 | 71% |
Scientists | 5 | 21% |
Practitioners (doctors, other healthcare professionals) | 2 | 8% |
Mendeley readers
The data shown below were compiled from readership statistics for 80 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 80 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Researcher | 17 | 21% |
Student > Ph. D. Student | 13 | 16% |
Student > Master | 5 | 6% |
Student > Bachelor | 4 | 5% |
Other | 4 | 5% |
Other | 9 | 11% |
Unknown | 28 | 35% |
Readers by discipline | Count | As % |
---|---|---|
Medicine and Dentistry | 14 | 18% |
Nursing and Health Professions | 7 | 9% |
Mathematics | 5 | 6% |
Computer Science | 4 | 5% |
Business, Management and Accounting | 2 | 3% |
Other | 12 | 15% |
Unknown | 36 | 45% |
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 16 November 2020.
All research outputs
#1,606,974
of 25,559,053 outputs
Outputs from Diagnostic and Prognostic Research
#18
of 126 outputs
Outputs of similar age
#35,893
of 445,027 outputs
Outputs of similar age from Diagnostic and Prognostic Research
#2
of 3 outputs
Altmetric has tracked 25,559,053 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 126 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 12.3. This one has done well, scoring higher than 86% 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 445,027 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 3 others from the same source and published within six weeks on either side of this one.