Title |
Multiple sclerosis patients who are stable on interferon therapy show better outcomes when staying on same therapy than patients who switch to another interferon
|
---|---|
Published in |
ClinicoEconomics and Outcomes Research: CEOR, November 2018
|
DOI | 10.2147/ceor.s163907 |
Pubmed ID | |
Authors |
Chao Chen, Ning Wu, Crystal Watson |
X Demographics
The data shown below were collected from the profiles of 11 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 Kingdom | 2 | 18% |
United States | 2 | 18% |
Australia | 1 | 9% |
Unknown | 6 | 55% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 9 | 82% |
Scientists | 1 | 9% |
Practitioners (doctors, other healthcare professionals) | 1 | 9% |
Mendeley readers
The data shown below were compiled from readership statistics for 29 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 29 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Other | 6 | 21% |
Student > Master | 6 | 21% |
Researcher | 4 | 14% |
Student > Ph. D. Student | 4 | 14% |
Student > Doctoral Student | 2 | 7% |
Other | 2 | 7% |
Unknown | 5 | 17% |
Readers by discipline | Count | As % |
---|---|---|
Neuroscience | 8 | 28% |
Medicine and Dentistry | 6 | 21% |
Social Sciences | 3 | 10% |
Economics, Econometrics and Finance | 2 | 7% |
Biochemistry, Genetics and Molecular Biology | 2 | 7% |
Other | 2 | 7% |
Unknown | 6 | 21% |
Attention Score in Context
This research output has an Altmetric Attention Score of 16. 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 02 January 2019.
All research outputs
#2,257,912
of 25,461,852 outputs
Outputs from ClinicoEconomics and Outcomes Research: CEOR
#48
of 525 outputs
Outputs of similar age
#47,022
of 363,731 outputs
Outputs of similar age from ClinicoEconomics and Outcomes Research: CEOR
#4
of 17 outputs
Altmetric has tracked 25,461,852 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 91st percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 525 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 12.0. This one has done particularly well, scoring higher than 90% 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 363,731 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 87% of its contemporaries.
We're also able to compare this research output to 17 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 76% of its contemporaries.