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X Demographics
Mendeley readers
Attention Score in Context
Title |
Use of natural language processing to improve predictive models for imaging utilization in children presenting to the emergency department
|
---|---|
Published in |
BMC Medical Informatics and Decision Making, December 2019
|
DOI | 10.1186/s12911-019-1006-6 |
Pubmed ID | |
Authors |
Xingyu Zhang, M. Fernanda Bellolio, Pau Medrano-Gracia, Konrad Werys, Sheng Yang, Prashant Mahajan |
X Demographics
The data shown below were collected from the profiles of 8 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
Country | Count | As % |
---|---|---|
France | 2 | 25% |
United Kingdom | 1 | 13% |
South Africa | 1 | 13% |
Unknown | 4 | 50% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 6 | 75% |
Scientists | 1 | 13% |
Practitioners (doctors, other healthcare professionals) | 1 | 13% |
Mendeley readers
The data shown below were compiled from readership statistics for 59 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 59 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 8 | 14% |
Researcher | 7 | 12% |
Student > Master | 6 | 10% |
Student > Bachelor | 4 | 7% |
Other | 3 | 5% |
Other | 7 | 12% |
Unknown | 24 | 41% |
Readers by discipline | Count | As % |
---|---|---|
Medicine and Dentistry | 9 | 15% |
Nursing and Health Professions | 6 | 10% |
Psychology | 3 | 5% |
Computer Science | 2 | 3% |
Business, Management and Accounting | 2 | 3% |
Other | 8 | 14% |
Unknown | 29 | 49% |
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 04 August 2020.
All research outputs
#6,514,080
of 23,511,526 outputs
Outputs from BMC Medical Informatics and Decision Making
#610
of 2,026 outputs
Outputs of similar age
#139,238
of 459,267 outputs
Outputs of similar age from BMC Medical Informatics and Decision Making
#21
of 67 outputs
Altmetric has tracked 23,511,526 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 2,026 research outputs from this source. They receive a mean Attention Score of 4.9. This one has gotten more attention than average, scoring higher than 69% 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 459,267 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 69% of its contemporaries.
We're also able to compare this research output to 67 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 70% of its contemporaries.