| Title |
The feasibility of collecting information from people with Multiple Sclerosis for the UK MS Register via a web portal: characterising a cohort of people with MS
|
|---|---|
| Published in |
BMC Medical Informatics and Decision Making, July 2012
|
| DOI | 10.1186/1472-6947-12-73 |
| Pubmed ID | |
| Authors |
David V Ford, Kerina H Jones, Rod M Middleton, Hazel Lockhart-Jones, Inocencio DC Maramba, Gareth J Noble, Lisa A Osborne, Ronan A Lyons |
| Abstract |
A UK Register of people with Multiple Sclerosis has been developed to address the need for an increased knowledge-base about MS. The Register is being populated via: a web-based portal; NHS neurology clinical systems; and administrative data sources. The data are de-identified and linked at the individual level. At the outset, it was not known whether people with MS would wish to participate in the UK MS Register by personally contributing their data to the Register via a web-based system. Therefore, the research aim of this work was to build an internet-mounted recruitment and consenting technology for people with Multiple Sclerosis, and to assess its feasibility as a questionnaire delivery platform to contribute data to the UK MS Register, by determining whether the information provided could be used to describe a cohort of people with MS. |
X Demographics
The data shown below were collected from the profiles of 3 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| India | 1 | 33% |
| Canada | 1 | 33% |
| United States | 1 | 33% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Practitioners (doctors, other healthcare professionals) | 2 | 67% |
| Members of the public | 1 | 33% |
Mendeley readers
The data shown below were compiled from readership statistics for 94 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Italy | 1 | 1% |
| Unknown | 93 | 99% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 18 | 19% |
| Researcher | 13 | 14% |
| Student > Ph. D. Student | 11 | 12% |
| Student > Doctoral Student | 7 | 7% |
| Student > Bachelor | 6 | 6% |
| Other | 20 | 21% |
| Unknown | 19 | 20% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 34 | 36% |
| Psychology | 7 | 7% |
| Nursing and Health Professions | 5 | 5% |
| Agricultural and Biological Sciences | 5 | 5% |
| Computer Science | 3 | 3% |
| Other | 16 | 17% |
| Unknown | 24 | 26% |
Attention Score in Context
This research output has an Altmetric Attention Score of 19. 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 19 October 2016.
All research outputs
#1,721,111
of 23,316,003 outputs
Outputs from BMC Medical Informatics and Decision Making
#88
of 2,024 outputs
Outputs of similar age
#10,715
of 165,050 outputs
Outputs of similar age from BMC Medical Informatics and Decision Making
#6
of 45 outputs
Altmetric has tracked 23,316,003 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 92nd percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 2,024 research outputs from this source. They receive a mean Attention Score of 4.9. This one has done particularly well, scoring higher than 95% of its peers.
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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 has done well, scoring higher than 88% of its contemporaries.