| Title |
Alexithymia and the labeling of facial emotions: response slowing and increased motor and somatosensory processing
|
|---|---|
| Published in |
BMC Neuroscience, March 2014
|
| DOI | 10.1186/1471-2202-15-40 |
| Pubmed ID | |
| Authors |
Klas Ihme, Julia Sacher, Vladimir Lichev, Nicole Rosenberg, Harald Kugel, Michael Rufer, Hans-Jörgen Grabe, André Pampel, Jöran Lepsien, Anette Kersting, Arno Villringer, Thomas Suslow |
| Abstract |
Alexithymia is a personality trait that is characterized by difficulties in identifying and describing feelings. Previous studies have shown that alexithymia is related to problems in recognizing others' emotional facial expressions when these are presented with temporal constraints. These problems can be less severe when the expressions are visible for a relatively long time. Because the neural correlates of these recognition deficits are still relatively unexplored, we investigated the labeling of facial emotions and brain responses to facial emotions as a function of alexithymia. |
X Demographics
The data shown below were collected from the profiles of 6 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Italy | 2 | 33% |
| United Kingdom | 1 | 17% |
| United States | 1 | 17% |
| Unknown | 2 | 33% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 5 | 83% |
| Scientists | 1 | 17% |
Mendeley readers
The data shown below were compiled from readership statistics for 93 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United Kingdom | 1 | 1% |
| Germany | 1 | 1% |
| Ireland | 1 | 1% |
| Unknown | 90 | 97% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 19 | 20% |
| Student > Master | 17 | 18% |
| Student > Bachelor | 11 | 12% |
| Researcher | 10 | 11% |
| Student > Doctoral Student | 6 | 6% |
| Other | 18 | 19% |
| Unknown | 12 | 13% |
| Readers by discipline | Count | As % |
|---|---|---|
| Psychology | 48 | 52% |
| Neuroscience | 10 | 11% |
| Medicine and Dentistry | 9 | 10% |
| Agricultural and Biological Sciences | 2 | 2% |
| Nursing and Health Professions | 2 | 2% |
| Other | 4 | 4% |
| Unknown | 18 | 19% |
Attention Score in Context
This research output has an Altmetric Attention Score of 5. 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
#7,051,521
of 25,182,110 outputs
Outputs from BMC Neuroscience
#316
of 1,288 outputs
Outputs of similar age
#61,661
of 227,562 outputs
Outputs of similar age from BMC Neuroscience
#4
of 26 outputs
Altmetric has tracked 25,182,110 research outputs across all sources so far. This one has received more attention than most of these and is in the 71st percentile.
So far Altmetric has tracked 1,288 research outputs from this source. They receive a mean Attention Score of 4.7. This one has done well, scoring higher than 75% 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 227,562 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 72% of its contemporaries.
We're also able to compare this research output to 26 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 88% of its contemporaries.