Title |
The effect of a test ordering software intervention on the prescription of unnecessary laboratory tests - a randomized controlled trial
|
---|---|
Published in |
BMC Medical Informatics and Decision Making, February 2017
|
DOI | 10.1186/s12911-017-0416-6 |
Pubmed ID | |
Authors |
Carlos Manuel Silva Martins, Andreia Sofia da Costa Teixeira, Luís Filipe Ribeiro de Azevedo, Luísa Maria Barbosa Sá, Paulo Alexandre Azevedo Pereira Santos, Maria Luciana Gomes Domingues do Couto, Altamiro Manuel Rodrigues da Costa Pereira, Alberto Augusto Oliveira Pinto Hespanhol, Cristina Maria Nogueira da Costa Santos |
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 % |
---|---|---|
Spain | 3 | 38% |
Kenya | 1 | 13% |
Portugal | 1 | 13% |
Unknown | 3 | 38% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 5 | 63% |
Scientists | 2 | 25% |
Practitioners (doctors, other healthcare professionals) | 1 | 13% |
Mendeley readers
The data shown below were compiled from readership statistics for 66 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 66 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Researcher | 14 | 21% |
Student > Master | 8 | 12% |
Student > Ph. D. Student | 5 | 8% |
Other | 5 | 8% |
Student > Bachelor | 4 | 6% |
Other | 14 | 21% |
Unknown | 16 | 24% |
Readers by discipline | Count | As % |
---|---|---|
Medicine and Dentistry | 27 | 41% |
Nursing and Health Professions | 5 | 8% |
Biochemistry, Genetics and Molecular Biology | 3 | 5% |
Business, Management and Accounting | 3 | 5% |
Computer Science | 2 | 3% |
Other | 7 | 11% |
Unknown | 19 | 29% |
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 20 August 2018.
All research outputs
#7,133,189
of 25,998,826 outputs
Outputs from BMC Medical Informatics and Decision Making
#620
of 2,164 outputs
Outputs of similar age
#106,656
of 327,439 outputs
Outputs of similar age from BMC Medical Informatics and Decision Making
#10
of 24 outputs
Altmetric has tracked 25,998,826 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 2,164 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.5. This one has gotten more attention than average, scoring higher than 71% 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 327,439 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 67% of its contemporaries.
We're also able to compare this research output to 24 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 58% of its contemporaries.