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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Serum biomarkers for the early diagnosis of TIA: The MIND-TIA study protocol
|
|---|---|
| Published in |
BMC Neurology, July 2015
|
| DOI | 10.1186/s12883-015-0388-z |
| Pubmed ID | |
| Authors |
L. Servaas Dolmans, Frans H. Rutten, Marie-Louise EL Bartelink, Gerdien Seppenwoolde, Sanne van Delft, L. Jaap Kappelle, Arno W. Hoes |
| Abstract |
A Transient Ischaemic Attack (TIA) bears a high risk of a subsequent ischaemic stroke. Adequate diagnosis of a TIA should be followed immediately by the start of appropriate preventive therapy, including antiplatelets. The diagnosis of a TIA based on symptoms and signs only is notoriously difficult and biomarkers of brain ischaemia might improve the recognition, and target management and prognosis of TIA patients. Our aim is to quantify the added diagnostic value of serum biomarkers of brain ischaemia in patients suspected of TIA. a cross-sectional diagnostic accuracy study with an additional six month follow-up period. 350 patients suspected of TIA in the primary care setting. Patients suspected of a TIA will be recruited by at least 200 general practitioners (GPs) in the catchment area of seven TIA outpatient clinics willing to participate in the study. In all patients a blood sample will be drawn as soon as possible after the patient has contacted the GP, but at least within 72 h after onset of symptoms. Participants will be referred by the GP to the regional TIA outpatient clinic for additional investigations, including brain imaging. The 'definite' diagnosis (reference standard) will be made by a panel consisting of three experienced neurologists who will use all available diagnostic information and the clinical information obtained during the outpatient clinic assessment, and a six month follow-up period. The diagnostic accuracy, and value in addition to signs and symptoms of candidate serum biomarkers will be assessed in terms of discrimination with C statistics, and calibration with plots. We aim to include 350 suspected cases, with 250 patients with indeed definite TIA (or minor stroke) according to the panel. We hope to find novel biomarkers that will enable a rapid and accurate diagnosis of TIA. This would largely improve the management and prognosis of such patients. ClinicalTrials.gov Identifier NCT01954329. |
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 % |
|---|---|---|
| Netherlands | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 49 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 1 | 2% |
| Unknown | 48 | 98% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 7 | 14% |
| Student > Bachelor | 7 | 14% |
| Student > Doctoral Student | 4 | 8% |
| Student > Ph. D. Student | 3 | 6% |
| Student > Postgraduate | 3 | 6% |
| Other | 7 | 14% |
| Unknown | 18 | 37% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 13 | 27% |
| Nursing and Health Professions | 4 | 8% |
| Business, Management and Accounting | 2 | 4% |
| Psychology | 2 | 4% |
| Materials Science | 2 | 4% |
| Other | 5 | 10% |
| Unknown | 21 | 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 19 August 2015.
All research outputs
#18,423,683
of 22,824,164 outputs
Outputs from BMC Neurology
#1,888
of 2,435 outputs
Outputs of similar age
#189,303
of 263,404 outputs
Outputs of similar age from BMC Neurology
#42
of 58 outputs
Altmetric has tracked 22,824,164 research outputs across all sources so far. This one is in the 11th percentile – i.e., 11% of other outputs scored the same or lower than it.
So far Altmetric has tracked 2,435 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.7. This one is in the 12th percentile – i.e., 12% 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 263,404 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 16th percentile – i.e., 16% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 58 others from the same source and published within six weeks on either side of this one. This one is in the 15th percentile – i.e., 15% of its contemporaries scored the same or lower than it.