You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output.
Click here to find out more.
X Demographics
Mendeley readers
Attention Score in Context
| Title |
Accuracy of automatic syndromic classification of coded emergency department diagnoses in identifying mental health-related presentations for public health surveillance
|
|---|---|
| Published in |
BMC Medical Informatics and Decision Making, September 2014
|
| DOI | 10.1186/1472-6947-14-84 |
| Pubmed ID | |
| Authors |
Henning TG Liljeqvist, David Muscatello, Grant Sara, Michael Dinh, Glenda L Lawrence |
| Abstract |
Syndromic surveillance in emergency departments (EDs) may be used to deliver early warnings of increases in disease activity, to provide situational awareness during events of public health significance, to supplement other information on trends in acute disease and injury, and to support the development and monitoring of prevention or response strategies. Changes in mental health related ED presentations may be relevant to these goals, provided they can be identified accurately and efficiently. This study aimed to measure the accuracy of using diagnostic codes in electronic ED presentation records to identify mental health-related visits. |
X Demographics
The data shown below were collected from the profiles of 4 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Australia | 1 | 25% |
| United Kingdom | 1 | 25% |
| India | 1 | 25% |
| Unknown | 1 | 25% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 3 | 75% |
| Practitioners (doctors, other healthcare professionals) | 1 | 25% |
Mendeley readers
The data shown below were compiled from readership statistics for 56 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Portugal | 1 | 2% |
| Korea, Republic of | 1 | 2% |
| Belgium | 1 | 2% |
| Unknown | 53 | 95% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 9 | 16% |
| Student > Master | 7 | 13% |
| Student > Ph. D. Student | 5 | 9% |
| Student > Doctoral Student | 5 | 9% |
| Student > Postgraduate | 5 | 9% |
| Other | 15 | 27% |
| Unknown | 10 | 18% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 14 | 25% |
| Agricultural and Biological Sciences | 4 | 7% |
| Nursing and Health Professions | 4 | 7% |
| Social Sciences | 4 | 7% |
| Psychology | 3 | 5% |
| Other | 11 | 20% |
| Unknown | 16 | 29% |
Attention Score in Context
This research output has an Altmetric Attention Score of 4. 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 27 September 2014.
All research outputs
#7,202,382
of 22,764,165 outputs
Outputs from BMC Medical Informatics and Decision Making
#721
of 1,984 outputs
Outputs of similar age
#77,711
of 251,975 outputs
Outputs of similar age from BMC Medical Informatics and Decision Making
#12
of 26 outputs
Altmetric has tracked 22,764,165 research outputs across all sources so far. This one has received more attention than most of these and is in the 67th percentile.
So far Altmetric has tracked 1,984 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 62% 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 251,975 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 26 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 50% of its contemporaries.