| Title |
An ultrasound model to calculate the brain blood outflow through collateral vessels: a pilot study
|
|---|---|
| Published in |
BMC Neurology, July 2013
|
| DOI | 10.1186/1471-2377-13-81 |
| Pubmed ID | |
| Authors |
Paolo Zamboni, Francesco Sisini, Erica Menegatti, Angelo Taibi, Anna Maria Malagoni, Sandra Morovic, Mauro Gambaccini |
| Abstract |
The quantification of the flow returning from the head through the cervical veins and the collaterals of the internal jugular vein (IJV), is becoming of prominent interest in clinical practice. We developed a novel model to calculate the cerebral venous return, normalized to the arterial inflow, in the different segments of the IJV. |
X Demographics
The data shown below were collected from the profiles of 32 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Italy | 6 | 19% |
| United Kingdom | 3 | 9% |
| United States | 2 | 6% |
| Canada | 2 | 6% |
| Egypt | 1 | 3% |
| Ireland | 1 | 3% |
| Unknown | 17 | 53% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 25 | 78% |
| Practitioners (doctors, other healthcare professionals) | 6 | 19% |
| Science communicators (journalists, bloggers, editors) | 1 | 3% |
Mendeley readers
The data shown below were compiled from readership statistics for 40 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 1 | 3% |
| Unknown | 39 | 98% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 8 | 20% |
| Researcher | 6 | 15% |
| Student > Master | 6 | 15% |
| Professor > Associate Professor | 4 | 10% |
| Student > Doctoral Student | 3 | 8% |
| Other | 7 | 18% |
| Unknown | 6 | 15% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 11 | 28% |
| Engineering | 5 | 13% |
| Physics and Astronomy | 5 | 13% |
| Nursing and Health Professions | 2 | 5% |
| Chemistry | 2 | 5% |
| Other | 5 | 13% |
| Unknown | 10 | 25% |
Attention Score in Context
This research output has an Altmetric Attention Score of 29. 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 10 February 2020.
All research outputs
#1,299,238
of 24,920,664 outputs
Outputs from BMC Neurology
#77
of 2,653 outputs
Outputs of similar age
#10,677
of 199,786 outputs
Outputs of similar age from BMC Neurology
#1
of 52 outputs
Altmetric has tracked 24,920,664 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 94th percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 2,653 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 7.2. This one has done particularly well, scoring higher than 97% 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 199,786 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 94% of its contemporaries.
We're also able to compare this research output to 52 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 99% of its contemporaries.