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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Proposal of a Nonlinear Interaction of Person and Situation (NIPS) model
|
|---|---|
| Published in |
Frontiers in Psychology, January 2013
|
| DOI | 10.3389/fpsyg.2013.00499 |
| Pubmed ID | |
| Authors |
Manfred Schmitt, Mario Gollwitzer, Anna Baumert, Gabriela Blum, Tobias Gschwendner, Wilhelm Hofmann, Tobias Rothmund |
| Abstract |
Marshall and Brown (2006) proposed a Traits as Situational Sensitivities (TASS) Model, which implies a systematic person × situation interaction. We review this model and show that it suffers from several limitations. We extend and modify the model in order to obtain a symmetric pattern of levels and effects for both person and situation factors. Our suggestions result in a general Nonlinear Interaction of Person and Situation (NIPS) Model. The NIPS model bears striking similarities to the Rasch model. Based on the symmetric nature of the NIPS model, we generalize the concept of weak and strong situations to individuals and propose the concepts of weak and strong persons. Finally, we discuss psychological mechanisms that might explain the NIPS pattern and offer ideas for future research. |
X Demographics
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Switzerland | 1 | 50% |
| Unknown | 1 | 50% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 2 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 55 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United Kingdom | 2 | 4% |
| United States | 1 | 2% |
| Bosnia and Herzegovina | 1 | 2% |
| Unknown | 51 | 93% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Bachelor | 16 | 29% |
| Student > Ph. D. Student | 12 | 22% |
| Student > Master | 6 | 11% |
| Student > Doctoral Student | 3 | 5% |
| Other | 3 | 5% |
| Other | 8 | 15% |
| Unknown | 7 | 13% |
| Readers by discipline | Count | As % |
|---|---|---|
| Psychology | 39 | 71% |
| Social Sciences | 2 | 4% |
| Agricultural and Biological Sciences | 2 | 4% |
| Pharmacology, Toxicology and Pharmaceutical Science | 1 | 2% |
| Biochemistry, Genetics and Molecular Biology | 1 | 2% |
| Other | 2 | 4% |
| Unknown | 8 | 15% |
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 02 August 2013.
All research outputs
#20,287,203
of 24,943,708 outputs
Outputs from Frontiers in Psychology
#24,899
of 33,669 outputs
Outputs of similar age
#230,821
of 292,957 outputs
Outputs of similar age from Frontiers in Psychology
#831
of 969 outputs
Altmetric has tracked 24,943,708 research outputs across all sources so far. This one is in the 10th percentile – i.e., 10% of other outputs scored the same or lower than it.
So far Altmetric has tracked 33,669 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 13.1. This one is in the 20th percentile – i.e., 20% of its peers scored the same or lower than it.
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 292,957 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 10th percentile – i.e., 10% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 969 others from the same source and published within six weeks on either side of this one. This one is in the 12th percentile – i.e., 12% of its contemporaries scored the same or lower than it.