You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output.
Click here to find out more.
X Demographics
Mendeley readers
Attention Score in Context
Title |
Researchers in rheumatology should avoid categorization of continuous predictor variables
|
---|---|
Published in |
BMC Medical Research Methodology, April 2023
|
DOI | 10.1186/s12874-023-01926-4 |
Pubmed ID | |
Authors |
Zubeyir Salis, Blanca Gallego, Amanda Sainsbury |
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 % |
---|---|---|
United States | 1 | 25% |
Unknown | 3 | 75% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 4 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 20 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 20 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Researcher | 6 | 30% |
Student > Master | 2 | 10% |
Student > Bachelor | 1 | 5% |
Student > Doctoral Student | 1 | 5% |
Lecturer | 1 | 5% |
Other | 0 | 0% |
Unknown | 9 | 45% |
Readers by discipline | Count | As % |
---|---|---|
Medicine and Dentistry | 6 | 30% |
Nursing and Health Professions | 2 | 10% |
Economics, Econometrics and Finance | 1 | 5% |
Computer Science | 1 | 5% |
Unknown | 10 | 50% |
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 17 January 2024.
All research outputs
#8,513,792
of 25,383,225 outputs
Outputs from BMC Medical Research Methodology
#1,245
of 2,266 outputs
Outputs of similar age
#145,188
of 400,392 outputs
Outputs of similar age from BMC Medical Research Methodology
#26
of 60 outputs
Altmetric has tracked 25,383,225 research outputs across all sources so far. This one is in the 43rd percentile – i.e., 43% of other outputs scored the same or lower than it.
So far Altmetric has tracked 2,266 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 10.4. This one is in the 42nd percentile – i.e., 42% 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 400,392 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 60% 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 58% of its contemporaries.