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X Demographics
Mendeley readers
Attention Score in Context
Title |
Early temporal characteristics of elderly patient cognitive impairment in electronic health records
|
---|---|
Published in |
BMC Medical Informatics and Decision Making, August 2019
|
DOI | 10.1186/s12911-019-0858-0 |
Pubmed ID | |
Authors |
Somaieh Goudarzvand, Jennifer St. Sauver, Michelle M. Mielke, Paul Y. Takahashi, Yugyung Lee, Sunghwan Sohn |
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 40 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 40 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Researcher | 4 | 10% |
Student > Bachelor | 4 | 10% |
Student > Doctoral Student | 2 | 5% |
Librarian | 2 | 5% |
Professor | 2 | 5% |
Other | 6 | 15% |
Unknown | 20 | 50% |
Readers by discipline | Count | As % |
---|---|---|
Medicine and Dentistry | 7 | 18% |
Computer Science | 4 | 10% |
Nursing and Health Professions | 3 | 8% |
Engineering | 2 | 5% |
Psychology | 1 | 3% |
Other | 2 | 5% |
Unknown | 21 | 53% |
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 25 June 2020.
All research outputs
#15,578,089
of 23,153,849 outputs
Outputs from BMC Medical Informatics and Decision Making
#1,330
of 2,016 outputs
Outputs of similar age
#212,197
of 345,020 outputs
Outputs of similar age from BMC Medical Informatics and Decision Making
#34
of 45 outputs
Altmetric has tracked 23,153,849 research outputs across all sources so far. This one is in the 22nd percentile – i.e., 22% of other outputs scored the same or lower than it.
So far Altmetric has tracked 2,016 research outputs from this source. They receive a mean Attention Score of 4.9. This one is in the 24th percentile – i.e., 24% 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 345,020 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 30th percentile – i.e., 30% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 45 others from the same source and published within six weeks on either side of this one. This one is in the 15th percentile – i.e., 15% of its contemporaries scored the same or lower than it.