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X Demographics
Mendeley readers
Attention Score in Context
Title |
Algorithm for Reliable Detection of Pulse Onsets in Cerebral Blood Flow Velocity Signals
|
---|---|
Published in |
Frontiers in Neurology, October 2019
|
DOI | 10.3389/fneur.2019.01072 |
Pubmed ID | |
Authors |
Nicolas Canac, Mina Ranjbaran, Michael J. O'Brien, Shadnaz Asgari, Fabien Scalzo, Samuel G. Thorpe, Kian Jalaleddini, Corey M. Thibeault, Seth J. Wilk, Robert B. Hamilton |
X Demographics
Geographical breakdown
Country | Count | As % |
---|---|---|
Venezuela, Bolivarian Republic of | 1 | 50% |
Switzerland | 1 | 50% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Scientists | 1 | 50% |
Members of the public | 1 | 50% |
Mendeley readers
The data shown below were compiled from readership statistics for 18 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 18 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Researcher | 5 | 28% |
Student > Ph. D. Student | 5 | 28% |
Unspecified | 1 | 6% |
Student > Bachelor | 1 | 6% |
Student > Master | 1 | 6% |
Other | 0 | 0% |
Unknown | 5 | 28% |
Readers by discipline | Count | As % |
---|---|---|
Engineering | 5 | 28% |
Computer Science | 2 | 11% |
Mathematics | 1 | 6% |
Nursing and Health Professions | 1 | 6% |
Psychology | 1 | 6% |
Other | 3 | 17% |
Unknown | 5 | 28% |
Attention Score in Context
This research output has an Altmetric Attention Score of 10. 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 17 October 2019.
All research outputs
#3,182,441
of 23,168,000 outputs
Outputs from Frontiers in Neurology
#2,419
of 12,073 outputs
Outputs of similar age
#68,542
of 353,324 outputs
Outputs of similar age from Frontiers in Neurology
#176
of 317 outputs
Altmetric has tracked 23,168,000 research outputs across all sources so far. Compared to these this one has done well and is in the 86th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 12,073 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 7.3. This one has done well, scoring higher than 78% 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 353,324 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 80% of its contemporaries.
We're also able to compare this research output to 317 others from the same source and published within six weeks on either side of this one. This one is in the 34th percentile – i.e., 34% of its contemporaries scored the same or lower than it.