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Mendeley readers
Attention Score in Context
| Title |
Functional Assessment for Acute Stroke Trials: Properties, Analysis, and Application
|
|---|---|
| Published in |
Frontiers in Neurology, March 2018
|
| DOI | 10.3389/fneur.2018.00191 |
| Pubmed ID | |
| Authors |
Martin Taylor-Rowan, Alastair Wilson, Jesse Dawson, Terence J. Quinn |
| Abstract |
A measure of treatment effect is needed to assess the utility of any novel intervention in acute stroke. For a potentially disabling condition such as stroke, outcomes of interest should include some measure of functional recovery. There are many functional outcome assessments that can be used after stroke. In this narrative review, we discuss exemplars of assessments that describe impairment, activity, participation, and quality of life. We will consider the psychometric properties of assessment scales in the context of stroke trials, focusing on validity, reliability, responsiveness, and feasibility. We will consider approaches to the analysis of functional outcome measures, including novel statistical approaches. Finally, we will discuss how advances in audiovisual and information technology could further improve outcome assessment in trials. |
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 % |
|---|---|---|
| Practitioners (doctors, other healthcare professionals) | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 86 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 86 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Bachelor | 10 | 12% |
| Student > Ph. D. Student | 8 | 9% |
| Student > Doctoral Student | 7 | 8% |
| Student > Postgraduate | 6 | 7% |
| Other | 5 | 6% |
| Other | 16 | 19% |
| Unknown | 34 | 40% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 18 | 21% |
| Nursing and Health Professions | 12 | 14% |
| Neuroscience | 7 | 8% |
| Engineering | 3 | 3% |
| Psychology | 2 | 2% |
| Other | 7 | 8% |
| Unknown | 37 | 43% |
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 21 April 2018.
All research outputs
#15,501,670
of 23,036,991 outputs
Outputs from Frontiers in Neurology
#6,846
of 11,929 outputs
Outputs of similar age
#210,852
of 330,400 outputs
Outputs of similar age from Frontiers in Neurology
#153
of 262 outputs
Altmetric has tracked 23,036,991 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 11,929 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 7.3. This one is in the 39th percentile – i.e., 39% 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 330,400 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 27th percentile – i.e., 27% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 262 others from the same source and published within six weeks on either side of this one. This one is in the 38th percentile – i.e., 38% of its contemporaries scored the same or lower than it.