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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Linear Modeling of Neurophysiological Responses to Speech and Other Continuous Stimuli: Methodological Considerations for Applied Research
|
|---|---|
| Published in |
Frontiers in Neuroscience, November 2021
|
| DOI | 10.3389/fnins.2021.705621 |
| Pubmed ID | |
| Authors |
Michael J. Crosse, Nathaniel J. Zuk, Giovanni M. Di Liberto, Aaron R. Nidiffer, Sophie Molholm, Edmund C. Lalor |
X Demographics
The data shown below were collected from the profiles of 39 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 7 | 18% |
| Austria | 2 | 5% |
| Germany | 2 | 5% |
| Poland | 1 | 3% |
| Switzerland | 1 | 3% |
| Hong Kong | 1 | 3% |
| Israel | 1 | 3% |
| Belgium | 1 | 3% |
| France | 1 | 3% |
| Other | 4 | 10% |
| Unknown | 18 | 46% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 21 | 54% |
| Members of the public | 17 | 44% |
| Science communicators (journalists, bloggers, editors) | 1 | 3% |
Mendeley readers
The data shown below were compiled from readership statistics for 110 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 110 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 28 | 25% |
| Researcher | 15 | 14% |
| Student > Master | 11 | 10% |
| Student > Doctoral Student | 5 | 5% |
| Student > Bachelor | 5 | 5% |
| Other | 12 | 11% |
| Unknown | 34 | 31% |
| Readers by discipline | Count | As % |
|---|---|---|
| Neuroscience | 26 | 24% |
| Psychology | 15 | 14% |
| Engineering | 10 | 9% |
| Linguistics | 4 | 4% |
| Computer Science | 3 | 3% |
| Other | 11 | 10% |
| Unknown | 41 | 37% |
Attention Score in Context
This research output has an Altmetric Attention Score of 24. 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 01 September 2022.
All research outputs
#1,572,792
of 25,392,582 outputs
Outputs from Frontiers in Neuroscience
#765
of 11,543 outputs
Outputs of similar age
#37,426
of 514,001 outputs
Outputs of similar age from Frontiers in Neuroscience
#18
of 382 outputs
Altmetric has tracked 25,392,582 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 93rd percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 11,543 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 11.0. This one has done particularly well, scoring higher than 93% 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 514,001 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 92% of its contemporaries.
We're also able to compare this research output to 382 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 95% of its contemporaries.