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Mendeley readers
Attention Score in Context
| Title |
Scalar Diversity, Negative Strengthening, and Adjectival Semantics
|
|---|---|
| Published in |
Frontiers in Psychology, September 2018
|
| DOI | 10.3389/fpsyg.2018.01659 |
| Pubmed ID | |
| Authors |
Nicole Gotzner, Stephanie Solt, Anton Benz |
| Abstract |
Previous research has demonstrated great variability in the rates of scalar inferences across different triggers (Doran et al., 2009; van Tiel et al., 2016). In the current study, we show that variation is more systematic than previously thought. In particular, we present experimental evidence suggesting that endorsements of scalar implicatures (i) are anti-correlated with the degree of negative strengthening of the stronger scale-mate (e.g., whether John is not stunning is interpreted as conveying that John is rather ugly) and (ii) are affected by the scale structure and the underlying scalar semantics of gradable adjectives (in particular boundedness, polarity, and adjectival extremeness). Overall, our research suggests that scale structure should be taken into account in theories of implicature. |
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 % |
|---|---|---|
| India | 1 | 25% |
| Switzerland | 1 | 25% |
| Unknown | 2 | 50% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 4 | 100% |
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 % |
|---|---|---|
| Unknown | 28 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 9 | 32% |
| Student > Master | 6 | 21% |
| Student > Doctoral Student | 5 | 18% |
| Professor | 1 | 4% |
| Researcher | 1 | 4% |
| Other | 1 | 4% |
| Unknown | 5 | 18% |
| Readers by discipline | Count | As % |
|---|---|---|
| Linguistics | 17 | 61% |
| Neuroscience | 2 | 7% |
| Psychology | 2 | 7% |
| Nursing and Health Professions | 1 | 4% |
| Computer Science | 1 | 4% |
| Other | 0 | 0% |
| Unknown | 5 | 18% |
Attention Score in Context
This research output has an Altmetric Attention Score of 2. 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 13 September 2018.
All research outputs
#15,017,219
of 23,102,082 outputs
Outputs from Frontiers in Psychology
#16,372
of 30,505 outputs
Outputs of similar age
#201,783
of 337,664 outputs
Outputs of similar age from Frontiers in Psychology
#495
of 753 outputs
Altmetric has tracked 23,102,082 research outputs across all sources so far. This one is in the 32nd percentile – i.e., 32% of other outputs scored the same or lower than it.
So far Altmetric has tracked 30,505 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 12.5. This one is in the 38th percentile – i.e., 38% 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 337,664 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 37th percentile – i.e., 37% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 753 others from the same source and published within six weeks on either side of this one. This one is in the 29th percentile – i.e., 29% of its contemporaries scored the same or lower than it.