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Mendeley readers
Attention Score in Context
| Title |
Examining four blood biomarkers for the detection of acute intracranial abnormalities following mild traumatic brain injury in older adults
|
|---|---|
| Published in |
Frontiers in Neurology, November 2022
|
| DOI | 10.3389/fneur.2022.960741 |
| Pubmed ID | |
| Authors |
Grant L. Iverson, Mira Minkkinen, Justin E. Karr, Ksenia Berghem, Henrik Zetterberg, Kaj Blennow, Jussi P. Posti, Teemu M. Luoto |
| Abstract |
Blood-based biomarkers have been increasingly studied for diagnostic and prognostic purposes in patients with mild traumatic brain injury (MTBI). Biomarker levels in blood have been shown to vary throughout age groups. Our aim was to study four blood biomarkers, glial fibrillary acidic protein (GFAP), ubiquitin C-terminal hydrolase-L1 (UCH-L1), neurofilament light (NF-L), and total tau (t-tau), in older adult patients with MTBI. The study sample was collected in the emergency department in Tampere University Hospital, Finland, between November 2015 and November 2016. All consecutive adult patients with head injury were eligible for inclusion. Serum samples were collected from the enrolled patients, which were frozen and later sent for biomarker analyses. Patients aged 60 years or older with MTBI, head computed tomography (CT) imaging, and available biomarker levels were eligible for this study. A total of 83 patients (mean age = 79.0, SD = 9.58, range = 60-100; 41.0% men) were included in the analysis. GFAP was the only biomarker to show statistically significant differentiation between patients with and without acute head CT abnormalities [U(83) = 280, p < 0.001, r = 0.44; area under the curve (AUC) = 0.79, 95% CI = 0.67-0.91]. The median UCH-L1 values were modestly greater in the abnormal head CT group vs. normal head CT group [U (83) = 492, p = 0.065, r = 0.20; AUC = 0.63, 95% CI = 0.49-0.77]. Older age was associated with biomarker levels in the normal head CT group, with the most prominent age associations being with NF-L (r = 0.56) and GFAP (r = 0.54). The results support the use of GFAP in detecting abnormal head CT findings in older adults with MTBIs. However, small sample sizes run the risk for producing non-replicable findings that may not generalize to the population and do not translate well to clinical use. Further studies should consider the potential effect of age on biomarker levels when establishing clinical cut-off values for detecting head CT abnormalities. |
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 % |
|---|---|---|
| Netherlands | 1 | 33% |
| Switzerland | 1 | 33% |
| Unknown | 1 | 33% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 2 | 67% |
| Scientists | 1 | 33% |
Mendeley readers
The data shown below were compiled from readership statistics for 13 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 13 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Lecturer | 1 | 8% |
| Student > Doctoral Student | 1 | 8% |
| Professor | 1 | 8% |
| Professor > Associate Professor | 1 | 8% |
| Student > Postgraduate | 1 | 8% |
| Other | 0 | 0% |
| Unknown | 8 | 62% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 2 | 15% |
| Arts and Humanities | 1 | 8% |
| Sports and Recreations | 1 | 8% |
| Psychology | 1 | 8% |
| Unknown | 8 | 62% |
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 22 December 2022.
All research outputs
#17,042,920
of 25,046,311 outputs
Outputs from Frontiers in Neurology
#7,676
of 14,152 outputs
Outputs of similar age
#274,961
of 486,166 outputs
Outputs of similar age from Frontiers in Neurology
#266
of 649 outputs
Altmetric has tracked 25,046,311 research outputs across all sources so far. This one is in the 21st percentile – i.e., 21% of other outputs scored the same or lower than it.
So far Altmetric has tracked 14,152 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 7.5. This one is in the 43rd percentile – i.e., 43% 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 486,166 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 30th percentile – i.e., 30% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 649 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 52% of its contemporaries.