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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Electrical Brain Responses to Beat Irregularities in Two Cases of Beat Deafness
|
|---|---|
| Published in |
Frontiers in Neuroscience, February 2016
|
| DOI | 10.3389/fnins.2016.00040 |
| Pubmed ID | |
| Authors |
Brian Mathias, Pascale Lidji, Henkjan Honing, Caroline Palmer, Isabelle Peretz |
| Abstract |
Beat deafness, a recently documented form of congenital amusia, provides a unique window into functional specialization of neural circuitry for the processing of musical stimuli: Beat-deaf individuals exhibit deficits that are specific to the detection of a regular beat in music and the ability to move along with a beat. Studies on the neural underpinnings of beat processing in the general population suggest that the auditory system is capable of pre-attentively generating a predictive model of upcoming sounds in a rhythmic pattern, subserved largely within auditory cortex and reflected in mismatch negativity (MMN) and P3 event-related potential (ERP) components. The current study examined these neural correlates of beat perception in two beat-deaf individuals, Mathieu and Marjorie, and a group of control participants under conditions in which auditory stimuli were either attended or ignored. Compared to control participants, Mathieu demonstrated reduced behavioral sensitivity to beat omissions in metrical patterns, and Marjorie showed a bias to identify irregular patterns as regular. ERP responses to beat omissions reveal an intact pre-attentive system for processing beat irregularities in cases of beat deafness, reflected in the MMN component, and provide partial support for abnormalities in later cognitive stages of beat processing, reflected in an unreliable P3b component exhibited by Mathieu-but not Marjorie-compared to control participants. P3 abnormalities observed in the current study resemble P3 abnormalities exhibited by individuals with pitch-based amusia, and are consistent with attention or auditory-motor coupling accounts of deficits in beat perception. |
X Demographics
The data shown below were collected from the profiles of 7 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 | 3 | 43% |
| Netherlands | 2 | 29% |
| Comoros | 1 | 14% |
| Unknown | 1 | 14% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 3 | 43% |
| Members of the public | 3 | 43% |
| Practitioners (doctors, other healthcare professionals) | 1 | 14% |
Mendeley readers
The data shown below were compiled from readership statistics for 52 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Netherlands | 1 | 2% |
| United States | 1 | 2% |
| Unknown | 50 | 96% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 14 | 27% |
| Student > Master | 8 | 15% |
| Student > Bachelor | 7 | 13% |
| Researcher | 4 | 8% |
| Student > Doctoral Student | 3 | 6% |
| Other | 6 | 12% |
| Unknown | 10 | 19% |
| Readers by discipline | Count | As % |
|---|---|---|
| Psychology | 15 | 29% |
| Neuroscience | 10 | 19% |
| Agricultural and Biological Sciences | 4 | 8% |
| Arts and Humanities | 4 | 8% |
| Computer Science | 4 | 8% |
| Other | 4 | 8% |
| Unknown | 11 | 21% |
Attention Score in Context
This research output has an Altmetric Attention Score of 19. 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 November 2023.
All research outputs
#1,947,321
of 25,374,917 outputs
Outputs from Frontiers in Neuroscience
#1,057
of 11,542 outputs
Outputs of similar age
#30,925
of 313,157 outputs
Outputs of similar age from Frontiers in Neuroscience
#14
of 179 outputs
Altmetric has tracked 25,374,917 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 92nd percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 11,542 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 10.9. This one has done particularly well, scoring higher than 90% 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 313,157 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 90% of its contemporaries.
We're also able to compare this research output to 179 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 92% of its contemporaries.