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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Methods to improve the quality of smoking records in a primary care EMR database: exploring multiple imputation and pattern-matching algorithms
|
|---|---|
| Published in |
BMC Medical Informatics and Decision Making, March 2020
|
| DOI | 10.1186/s12911-020-1068-5 |
| Pubmed ID | |
| Authors |
Stephanie Garies, Michael Cummings, Hude Quan, Kerry McBrien, Neil Drummond, Donna Manca, Tyler Williamson |
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% |
| United Kingdom | 1 | 33% |
| Unknown | 1 | 33% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 2 | 67% |
| Practitioners (doctors, other healthcare professionals) | 1 | 33% |
Mendeley readers
The data shown below were compiled from readership statistics for 45 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 45 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 5 | 11% |
| Researcher | 5 | 11% |
| Student > Bachelor | 5 | 11% |
| Student > Master | 4 | 9% |
| Other | 3 | 7% |
| Other | 6 | 13% |
| Unknown | 17 | 38% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 5 | 11% |
| Nursing and Health Professions | 4 | 9% |
| Computer Science | 3 | 7% |
| Psychology | 2 | 4% |
| Mathematics | 1 | 2% |
| Other | 7 | 16% |
| Unknown | 23 | 51% |
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 31 July 2022.
All research outputs
#14,080,568
of 23,001,641 outputs
Outputs from BMC Medical Informatics and Decision Making
#1,079
of 2,006 outputs
Outputs of similar age
#192,806
of 364,676 outputs
Outputs of similar age from BMC Medical Informatics and Decision Making
#25
of 37 outputs
Altmetric has tracked 23,001,641 research outputs across all sources so far. This one is in the 37th percentile – i.e., 37% of other outputs scored the same or lower than it.
So far Altmetric has tracked 2,006 research outputs from this source. They receive a mean Attention Score of 4.9. This one is in the 44th percentile – i.e., 44% 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 364,676 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 45th percentile – i.e., 45% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 37 others from the same source and published within six weeks on either side of this one. This one is in the 32nd percentile – i.e., 32% of its contemporaries scored the same or lower than it.