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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Validation of an electronic coding algorithm to identify the primary indication of orthopedic surgeries from administrative data
|
|---|---|
| Published in |
BMC Medical Informatics and Decision Making, August 2020
|
| DOI | 10.1186/s12911-020-01175-1 |
| Pubmed ID | |
| Authors |
John C. Giardina, Thomas Cha, Steven J. Atlas, Michael J. Barry, Andrew A. Freiberg, Lauren Leavitt, Felisha Marques, Karen Sepucha |
X Demographics
The data shown below were collected from the profiles of 3 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 | 33% |
| Unknown | 2 | 67% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Practitioners (doctors, other healthcare professionals) | 2 | 67% |
| Members of the public | 1 | 33% |
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 % |
|---|---|---|
| Unknown | 25 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 5 | 20% |
| Student > Bachelor | 3 | 12% |
| Librarian | 2 | 8% |
| Lecturer | 1 | 4% |
| Student > Doctoral Student | 1 | 4% |
| Other | 2 | 8% |
| Unknown | 11 | 44% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 4 | 16% |
| Nursing and Health Professions | 3 | 12% |
| Business, Management and Accounting | 1 | 4% |
| Economics, Econometrics and Finance | 1 | 4% |
| Agricultural and Biological Sciences | 1 | 4% |
| Other | 2 | 8% |
| Unknown | 13 | 52% |
Attention Score in Context
This research output has an Altmetric Attention Score of 3. 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 18 November 2020.
All research outputs
#13,336,213
of 23,234,261 outputs
Outputs from BMC Medical Informatics and Decision Making
#936
of 2,022 outputs
Outputs of similar age
#190,735
of 398,703 outputs
Outputs of similar age from BMC Medical Informatics and Decision Making
#26
of 60 outputs
Altmetric has tracked 23,234,261 research outputs across all sources so far. This one is in the 42nd percentile – i.e., 42% 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 4.9. This one has gotten more attention than average, scoring higher than 52% 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 398,703 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 51% of its contemporaries.
We're also able to compare this research output to 60 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 55% of its contemporaries.