| Title |
Personalised profiling to identify clinically relevant changes in tremor due to multiple sclerosis
|
|---|---|
| Published in |
BMC Medical Informatics and Decision Making, August 2019
|
| DOI | 10.1186/s12911-019-0881-1 |
| Pubmed ID | |
| Authors |
David G. Western, Simon A. Neild, Rosemary Jones, Angela Davies-Smith |
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 Kingdom | 2 | 50% |
| United States | 1 | 25% |
| Unknown | 1 | 25% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 3 | 75% |
| Science communicators (journalists, bloggers, editors) | 1 | 25% |
Mendeley readers
The data shown below were compiled from readership statistics for 26 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 26 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 5 | 19% |
| Student > Ph. D. Student | 3 | 12% |
| Student > Bachelor | 2 | 8% |
| Unspecified | 1 | 4% |
| Student > Doctoral Student | 1 | 4% |
| Other | 6 | 23% |
| Unknown | 8 | 31% |
| Readers by discipline | Count | As % |
|---|---|---|
| Nursing and Health Professions | 4 | 15% |
| Neuroscience | 2 | 8% |
| Engineering | 2 | 8% |
| Medicine and Dentistry | 2 | 8% |
| Computer Science | 1 | 4% |
| Other | 5 | 19% |
| Unknown | 10 | 38% |
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 13 September 2019.
All research outputs
#13,299,016
of 23,154,520 outputs
Outputs from BMC Medical Informatics and Decision Making
#933
of 2,016 outputs
Outputs of similar age
#148,495
of 312,709 outputs
Outputs of similar age from BMC Medical Informatics and Decision Making
#24
of 43 outputs
Altmetric has tracked 23,154,520 research outputs across all sources so far. This one is in the 42nd percentile – i.e., 42% 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 has gotten more attention than average, scoring higher than 52% 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 312,709 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 51% of its contemporaries.
We're also able to compare this research output to 43 others from the same source and published within six weeks on either side of this one. This one is in the 41st percentile – i.e., 41% of its contemporaries scored the same or lower than it.