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X Demographics
Mendeley readers
Attention Score in Context
| Title |
ERP correlates of German Sign Language processing in deaf native signers
|
|---|---|
| Published in |
BMC Neuroscience, May 2014
|
| DOI | 10.1186/1471-2202-15-62 |
| Pubmed ID | |
| Authors |
Barbara Hänel-Faulhaber, Nils Skotara, Monique Kügow, Uta Salden, Davide Bottari, Brigitte Röder |
| Abstract |
The present study investigated the neural correlates of sign language processing of Deaf people who had learned German Sign Language (Deutsche Gebärdensprache, DGS) from their Deaf parents as their first language. Correct and incorrect signed sentences were presented sign by sign on a computer screen. At the end of each sentence the participants had to judge whether or not the sentence was an appropriate DGS sentence. Two types of violations were introduced: (1) semantically incorrect sentences containing a selectional restriction violation (implausible object); (2) morphosyntactically incorrect sentences containing a verb that was incorrectly inflected (i.e., incorrect direction of movement). Event-related brain potentials (ERPs) were recorded from 74 scalp electrodes. |
X Demographics
The data shown below were collected from the profiles of 4 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 Kingdom | 2 | 50% |
| Italy | 1 | 25% |
| Unknown | 1 | 25% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 3 | 75% |
| Scientists | 1 | 25% |
Mendeley readers
The data shown below were compiled from readership statistics for 59 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Colombia | 1 | 2% |
| Unknown | 58 | 98% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 16 | 27% |
| Researcher | 10 | 17% |
| Student > Master | 7 | 12% |
| Student > Doctoral Student | 4 | 7% |
| Professor > Associate Professor | 3 | 5% |
| Other | 10 | 17% |
| Unknown | 9 | 15% |
| Readers by discipline | Count | As % |
|---|---|---|
| Linguistics | 16 | 27% |
| Psychology | 11 | 19% |
| Neuroscience | 5 | 8% |
| Nursing and Health Professions | 3 | 5% |
| Medicine and Dentistry | 3 | 5% |
| Other | 7 | 12% |
| Unknown | 14 | 24% |
Attention Score in Context
This research output has an Altmetric Attention Score of 3. 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 26 June 2014.
All research outputs
#14,263,976
of 25,182,110 outputs
Outputs from BMC Neuroscience
#513
of 1,288 outputs
Outputs of similar age
#111,517
of 233,405 outputs
Outputs of similar age from BMC Neuroscience
#8
of 25 outputs
Altmetric has tracked 25,182,110 research outputs across all sources so far. This one is in the 43rd percentile – i.e., 43% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,288 research outputs from this source. They receive a mean Attention Score of 4.7. This one has gotten more attention than average, scoring higher than 59% 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 233,405 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 51% of its contemporaries.
We're also able to compare this research output to 25 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 68% of its contemporaries.