| Title |
Coding of obesity in administrative hospital discharge abstract data: accuracy and impact for future research studies
|
|---|---|
| Published in |
BMC Health Services Research, February 2014
|
| DOI | 10.1186/1472-6963-14-70 |
| Pubmed ID | |
| Authors |
Billie-Jean Martin, Guanmin Chen, Michelle Graham, Hude Quan |
| Abstract |
Obesity is a pervasive problem and a popular subject of academic assessment. The ability to take advantage of existing data, such as administrative databases, to study obesity is appealing. The objective of our study was to assess the validity of obesity coding in an administrative database and compare the association between obesity and outcomes in an administrative database versus registry. |
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 % |
|---|---|---|
| Members of the public | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 70 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| France | 1 | 1% |
| Unknown | 69 | 99% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 11 | 16% |
| Student > Ph. D. Student | 11 | 16% |
| Student > Bachelor | 6 | 9% |
| Student > Master | 5 | 7% |
| Student > Doctoral Student | 5 | 7% |
| Other | 16 | 23% |
| Unknown | 16 | 23% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 24 | 34% |
| Mathematics | 4 | 6% |
| Social Sciences | 4 | 6% |
| Nursing and Health Professions | 3 | 4% |
| Economics, Econometrics and Finance | 2 | 3% |
| Other | 11 | 16% |
| Unknown | 22 | 31% |
Attention Score in Context
This research output has an Altmetric Attention Score of 9. 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 June 2014.
All research outputs
#3,658,772
of 22,743,667 outputs
Outputs from BMC Health Services Research
#1,623
of 7,613 outputs
Outputs of similar age
#45,817
of 313,457 outputs
Outputs of similar age from BMC Health Services Research
#23
of 125 outputs
Altmetric has tracked 22,743,667 research outputs across all sources so far. Compared to these this one has done well and is in the 83rd percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 7,613 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 7.7. This one has done well, scoring higher than 78% 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 313,457 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 85% of its contemporaries.
We're also able to compare this research output to 125 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 81% of its contemporaries.