| Title |
Automating Linguistics-Based Cues for Detecting Deception in Text-Based Asynchronous Computer-Mediated Communications
|
|---|---|
| Published in |
Group Decision and Negotiation, January 2004
|
| DOI | 10.1023/b:grup.0000011944.62889.6f |
| Authors |
Lina Zhou, Judee K. Burgoon, Jay F. Nunamaker, Doug Twitchell |
Mendeley readers
The data shown below were compiled from readership statistics for 297 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 11 | 4% |
| Germany | 2 | <1% |
| United Kingdom | 2 | <1% |
| Netherlands | 1 | <1% |
| Canada | 1 | <1% |
| South Africa | 1 | <1% |
| Greece | 1 | <1% |
| Spain | 1 | <1% |
| Unknown | 277 | 93% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 79 | 27% |
| Student > Master | 44 | 15% |
| Researcher | 33 | 11% |
| Student > Bachelor | 24 | 8% |
| Student > Doctoral Student | 17 | 6% |
| Other | 60 | 20% |
| Unknown | 40 | 13% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 83 | 28% |
| Business, Management and Accounting | 47 | 16% |
| Psychology | 32 | 11% |
| Linguistics | 27 | 9% |
| Social Sciences | 25 | 8% |
| Other | 36 | 12% |
| Unknown | 47 | 16% |
Attention Score in Context
This research output has an Altmetric Attention Score of 17. 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 15 February 2021.
All research outputs
#2,197,765
of 25,374,647 outputs
Outputs from Group Decision and Negotiation
#10
of 169 outputs
Outputs of similar age
#4,699
of 143,821 outputs
Outputs of similar age from Group Decision and Negotiation
#1
of 1 outputs
Altmetric has tracked 25,374,647 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 91st percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 169 research outputs from this source. They receive a mean Attention Score of 4.5. This one has done particularly well, scoring higher than 94% 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 143,821 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 96% of its contemporaries.
We're also able to compare this research output to 1 others from the same source and published within six weeks on either side of this one. This one has scored higher than all of them