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Twitter Demographics
Mendeley readers
Title |
How does the online service level influence consumers’ purchase intentions before a transaction? A formative approach
|
---|---|
Published in |
European Journal of Management and Business Economics, November 2016
|
DOI | 10.1016/j.redeen.2016.04.001 |
Authors |
Inés Küster, Natalia Vila, Pedro Canales |
Twitter Demographics
The data shown below were collected from the profiles of 2 tweeters who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
Country | Count | As % |
---|---|---|
United States | 1 | 50% |
United Kingdom | 1 | 50% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Scientists | 1 | 50% |
Members of the public | 1 | 50% |
Mendeley readers
The data shown below were compiled from readership statistics for 289 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 289 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Lecturer | 34 | 12% |
Student > Master | 32 | 11% |
Student > Bachelor | 29 | 10% |
Student > Doctoral Student | 19 | 7% |
Student > Ph. D. Student | 17 | 6% |
Other | 54 | 19% |
Unknown | 104 | 36% |
Readers by discipline | Count | As % |
---|---|---|
Business, Management and Accounting | 108 | 37% |
Economics, Econometrics and Finance | 18 | 6% |
Computer Science | 11 | 4% |
Social Sciences | 11 | 4% |
Unspecified | 9 | 3% |
Other | 27 | 9% |
Unknown | 105 | 36% |