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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Retrospective derivation and validation of a search algorithm to identify extubation failure in the intensive care unit
|
|---|---|
| Published in |
BMC Anesthesiology, May 2014
|
| DOI | 10.1186/1471-2253-14-41 |
| Pubmed ID | |
| Authors |
Muhammad Adeel Rishi, Rahul Kashyap, Gregory Wilson, Sara Hocker |
| Abstract |
Development and validation of automated electronic medical record (EMR) search strategies is important in identifying extubation failure in the intensive care unit (ICU). We developed and validated an automated search algorithm (strategy) for extubation failure in critically ill patients. |
X Demographics
The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Practitioners (doctors, other healthcare professionals) | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 25 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Spain | 1 | 4% |
| Unknown | 24 | 96% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Other | 4 | 16% |
| Student > Bachelor | 3 | 12% |
| Student > Master | 3 | 12% |
| Researcher | 3 | 12% |
| Student > Doctoral Student | 2 | 8% |
| Other | 5 | 20% |
| Unknown | 5 | 20% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 11 | 44% |
| Agricultural and Biological Sciences | 2 | 8% |
| Engineering | 2 | 8% |
| Computer Science | 1 | 4% |
| Social Sciences | 1 | 4% |
| Other | 3 | 12% |
| Unknown | 5 | 20% |
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 04 June 2014.
All research outputs
#20,231,392
of 22,757,090 outputs
Outputs from BMC Anesthesiology
#1,167
of 1,490 outputs
Outputs of similar age
#191,961
of 226,327 outputs
Outputs of similar age from BMC Anesthesiology
#13
of 13 outputs
Altmetric has tracked 22,757,090 research outputs across all sources so far. This one is in the 1st percentile – i.e., 1% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,490 research outputs from this source. They receive a mean Attention Score of 3.0. This one is in the 1st percentile – i.e., 1% 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 226,327 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 13 others from the same source and published within six weeks on either side of this one. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.