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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Application of openEHR archetypes to automate data quality rules for electronic health records: a case study
|
|---|---|
| Published in |
BMC Medical Informatics and Decision Making, April 2021
|
| DOI | 10.1186/s12911-021-01481-2 |
| Pubmed ID | |
| Authors |
Qi Tian, Zhexi Han, Ping Yu, Jiye An, Xudong Lu, Huilong Duan |
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 % |
|---|---|---|
| Unknown | 4 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 4 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 42 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 42 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 5 | 12% |
| Professor > Associate Professor | 4 | 10% |
| Student > Doctoral Student | 3 | 7% |
| Student > Bachelor | 3 | 7% |
| Lecturer | 2 | 5% |
| Other | 5 | 12% |
| Unknown | 20 | 48% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 7 | 17% |
| Medicine and Dentistry | 4 | 10% |
| Engineering | 3 | 7% |
| Pharmacology, Toxicology and Pharmaceutical Science | 2 | 5% |
| Business, Management and Accounting | 1 | 2% |
| Other | 1 | 2% |
| Unknown | 24 | 57% |
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 05 April 2021.
All research outputs
#12,902,086
of 23,302,246 outputs
Outputs from BMC Medical Informatics and Decision Making
#849
of 2,024 outputs
Outputs of similar age
#180,973
of 431,879 outputs
Outputs of similar age from BMC Medical Informatics and Decision Making
#26
of 61 outputs
Altmetric has tracked 23,302,246 research outputs across all sources so far. This one is in the 44th percentile – i.e., 44% of other outputs scored the same or lower than it.
So far Altmetric has tracked 2,024 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 57% 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 431,879 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 57% of its contemporaries.
We're also able to compare this research output to 61 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 57% of its contemporaries.