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X Demographics
Mendeley readers
Attention Score in Context
| Title |
A configurable method for clinical quality measurement through electronic health records based on openEHR and CQL
|
|---|---|
| Published in |
BMC Medical Informatics and Decision Making, February 2022
|
| DOI | 10.1186/s12911-022-01763-3 |
| Pubmed ID | |
| Authors |
Mengyang Li, Hailing Cai, Yunlong Zhi, Zehai Fu, Huilong Duan, Xudong Lu |
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 28 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 28 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 4 | 14% |
| Student > Master | 3 | 11% |
| Researcher | 2 | 7% |
| Student > Bachelor | 2 | 7% |
| Professor | 1 | 4% |
| Other | 3 | 11% |
| Unknown | 13 | 46% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 5 | 18% |
| Nursing and Health Professions | 4 | 14% |
| Economics, Econometrics and Finance | 1 | 4% |
| Decision Sciences | 1 | 4% |
| Medicine and Dentistry | 1 | 4% |
| Other | 0 | 0% |
| Unknown | 16 | 57% |
Attention Score in Context
This research output has an Altmetric Attention Score of 1. 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 19 April 2022.
All research outputs
#20,938,115
of 23,570,677 outputs
Outputs from BMC Medical Informatics and Decision Making
#1,845
of 2,027 outputs
Outputs of similar age
#426,016
of 519,490 outputs
Outputs of similar age from BMC Medical Informatics and Decision Making
#43
of 53 outputs
Altmetric has tracked 23,570,677 research outputs across all sources so far. This one is in the 1st percentile – i.e., 1% of other outputs scored the same or lower than it.
So far Altmetric has tracked 2,027 research outputs from this source. They receive a mean Attention Score of 5.0. This one is in the 1st percentile – i.e., 1% 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 519,490 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 53 others from the same source and published within six weeks on either side of this one. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.