| Title |
A basic model for assessing primary health care electronic medical record data quality
|
|---|---|
| Published in |
BMC Medical Informatics and Decision Making, February 2019
|
| DOI | 10.1186/s12911-019-0740-0 |
| Pubmed ID | |
| Authors |
Amanda L. Terry, Moira Stewart, Sonny Cejic, J. Neil Marshall, Simon de Lusignan, Bert M. Chesworth, Vijaya Chevendra, Heather Maddocks, Joshua Shadd, Fred Burge, Amardeep Thind |
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 % |
|---|---|---|
| Australia | 1 | 50% |
| Unknown | 1 | 50% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 1 | 50% |
| Practitioners (doctors, other healthcare professionals) | 1 | 50% |
Mendeley readers
The data shown below were compiled from readership statistics for 140 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 140 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 20 | 14% |
| Researcher | 19 | 14% |
| Student > Bachelor | 14 | 10% |
| Student > Master | 13 | 9% |
| Student > Postgraduate | 10 | 7% |
| Other | 20 | 14% |
| Unknown | 44 | 31% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 28 | 20% |
| Computer Science | 16 | 11% |
| Nursing and Health Professions | 15 | 11% |
| Engineering | 5 | 4% |
| Social Sciences | 4 | 3% |
| Other | 20 | 14% |
| Unknown | 52 | 37% |
Attention Score in Context
This research output has an Altmetric Attention Score of 2. 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 16 February 2019.
All research outputs
#15,509,480
of 23,128,387 outputs
Outputs from BMC Medical Informatics and Decision Making
#1,323
of 2,015 outputs
Outputs of similar age
#270,240
of 447,271 outputs
Outputs of similar age from BMC Medical Informatics and Decision Making
#27
of 41 outputs
Altmetric has tracked 23,128,387 research outputs across all sources so far. This one is in the 32nd percentile – i.e., 32% of other outputs scored the same or lower than it.
So far Altmetric has tracked 2,015 research outputs from this source. They receive a mean Attention Score of 4.9. This one is in the 34th percentile – i.e., 34% 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 447,271 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 39th percentile – i.e., 39% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 41 others from the same source and published within six weeks on either side of this one. This one is in the 34th percentile – i.e., 34% of its contemporaries scored the same or lower than it.