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X Demographics
Mendeley readers
Attention Score in Context
| Title |
A machine learning approach for modeling decisions in the out of hospital cardiac arrest care workflow
|
|---|---|
| Published in |
BMC Medical Informatics and Decision Making, January 2022
|
| DOI | 10.1186/s12911-021-01730-4 |
| Pubmed ID | |
| Authors |
Samuel Harford, Marina Del Rios, Sara Heinert, Joseph Weber, Eddie Markul, Katie Tataris, Teri Campbell, Terry Vanden Hoek, Houshang Darabi |
X Demographics
The data shown below were collected from the profiles of 2 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 | 50% |
| Unknown | 1 | 50% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 2 | 100% |
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 % |
|---|---|---|
| Lecturer | 3 | 9% |
| Student > Master | 3 | 9% |
| Researcher | 2 | 6% |
| Student > Bachelor | 2 | 6% |
| Student > Doctoral Student | 1 | 3% |
| Other | 2 | 6% |
| Unknown | 19 | 59% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 4 | 13% |
| Medicine and Dentistry | 2 | 6% |
| Nursing and Health Professions | 2 | 6% |
| Chemical Engineering | 1 | 3% |
| Unspecified | 1 | 3% |
| Other | 2 | 6% |
| Unknown | 20 | 63% |
Attention Score in Context
This research output has an Altmetric Attention Score of 1. 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 28 January 2022.
All research outputs
#18,836,331
of 23,344,526 outputs
Outputs from BMC Medical Informatics and Decision Making
#1,599
of 2,022 outputs
Outputs of similar age
#365,502
of 508,141 outputs
Outputs of similar age from BMC Medical Informatics and Decision Making
#38
of 57 outputs
Altmetric has tracked 23,344,526 research outputs across all sources so far. This one is in the 11th percentile – i.e., 11% of other outputs scored the same or lower than it.
So far Altmetric has tracked 2,022 research outputs from this source. They receive a mean Attention Score of 5.0. This one is in the 9th percentile – i.e., 9% of its peers scored the same or lower than it.
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 508,141 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 18th percentile – i.e., 18% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 57 others from the same source and published within six weeks on either side of this one. This one is in the 22nd percentile – i.e., 22% of its contemporaries scored the same or lower than it.