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Mendeley readers
Attention Score in Context
| Title |
Further characterization of “subject’s own name (SON) negativity,” an ERP component reflecting early preattentive detection of SON
|
|---|---|
| Published in |
BMC Research Notes, May 2015
|
| DOI | 10.1186/s13104-015-1150-8 |
| Pubmed ID | |
| Authors |
Toshihiko Tateuchi, Kosuke Itoh, Tsutomu Nakada |
| Abstract |
Subject's own name (SON) is detected automatically and unconsciously in the brain. SON negativity, an early wave in the mismatch negativity latency range, has been proposed as a potential event-related potential (ERP) index of the automatic preattentive detection of SON. SON negativity is probably not a general measure of familiarity, as it is not elicited by the subject's parent's name. We further investigated the specificity of this response by testing whether it is elicited by a name to which subjects were strongly but only temporarily familiarized. Subjects performed a task to detect an arbitrary unfamiliar name for forty minutes. Then, that name was presented randomly and equiprobably with nine novel unfamiliar names while they played a video game and tried to ignore the sounds. SON negativity was not elicited, even when subjects spontaneously noticed hearing the familiarized name. The finding supports the notion that SON negativity represents a specific ERP measure of the early preattentive detection of SON, rather than a general measure of familiarity. |
Mendeley readers
The data shown below were compiled from readership statistics for 28 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Spain | 1 | 4% |
| Unknown | 27 | 96% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 7 | 25% |
| Student > Master | 6 | 21% |
| Student > Doctoral Student | 3 | 11% |
| Researcher | 2 | 7% |
| Other | 1 | 4% |
| Other | 2 | 7% |
| Unknown | 7 | 25% |
| Readers by discipline | Count | As % |
|---|---|---|
| Psychology | 9 | 32% |
| Neuroscience | 6 | 21% |
| Nursing and Health Professions | 1 | 4% |
| Computer Science | 1 | 4% |
| Arts and Humanities | 1 | 4% |
| Other | 0 | 0% |
| Unknown | 10 | 36% |
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 21 January 2016.
All research outputs
#20,712,517
of 23,312,088 outputs
Outputs from BMC Research Notes
#3,601
of 4,306 outputs
Outputs of similar age
#223,427
of 265,552 outputs
Outputs of similar age from BMC Research Notes
#71
of 91 outputs
Altmetric has tracked 23,312,088 research outputs across all sources so far. This one is in the 1st percentile – i.e., 1% of other outputs scored the same or lower than it.
So far Altmetric has tracked 4,306 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.7. This one is in the 1st percentile – i.e., 1% of its peers scored the same or lower than it.
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We're also able to compare this research output to 91 others from the same source and published within six weeks on either side of this one. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.