| Title |
Anticipating acceptance of emerging technologies using twitter: the case of self-driving cars
|
|---|---|
| Published in |
Journal of Business Economics, March 2018
|
| DOI | 10.1007/s11573-018-0897-5 |
| Authors |
Christopher Kohl, Marlene Knigge, Galina Baader, Markus Böhm, Helmut Krcmar |
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 | 1 | 25% |
| United States | 1 | 25% |
| Unknown | 2 | 50% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 2 | 50% |
| Scientists | 1 | 25% |
| Science communicators (journalists, bloggers, editors) | 1 | 25% |
Mendeley readers
The data shown below were compiled from readership statistics for 124 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 124 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 20 | 16% |
| Student > Ph. D. Student | 16 | 13% |
| Student > Bachelor | 12 | 10% |
| Student > Doctoral Student | 11 | 9% |
| Researcher | 5 | 4% |
| Other | 19 | 15% |
| Unknown | 41 | 33% |
| Readers by discipline | Count | As % |
|---|---|---|
| Business, Management and Accounting | 18 | 15% |
| Engineering | 17 | 14% |
| Computer Science | 13 | 10% |
| Social Sciences | 10 | 8% |
| Economics, Econometrics and Finance | 6 | 5% |
| Other | 11 | 9% |
| Unknown | 49 | 40% |
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 20 December 2018.
All research outputs
#14,279,971
of 23,999,200 outputs
Outputs from Journal of Business Economics
#55
of 118 outputs
Outputs of similar age
#176,476
of 336,010 outputs
Outputs of similar age from Journal of Business Economics
#1
of 4 outputs
Altmetric has tracked 23,999,200 research outputs across all sources so far. This one is in the 39th percentile – i.e., 39% of other outputs scored the same or lower than it.
So far Altmetric has tracked 118 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 52% 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 336,010 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 45th percentile – i.e., 45% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 4 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