| Title |
Stealing PINs via mobile sensors: actual risk versus user perception
|
|---|---|
| Published in |
International Journal of Information Security, April 2017
|
| DOI | 10.1007/s10207-017-0369-x |
| Pubmed ID | |
| Authors |
Maryam Mehrnezhad, Ehsan Toreini, Siamak F. Shahandashti, Feng Hao |
X Demographics
The data shown below were collected from the profiles of 226 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 States | 28 | 12% |
| United Kingdom | 20 | 9% |
| France | 13 | 6% |
| Canada | 5 | 2% |
| Spain | 5 | 2% |
| Sweden | 3 | 1% |
| Germany | 3 | 1% |
| India | 3 | 1% |
| United Arab Emirates | 2 | <1% |
| Other | 47 | 21% |
| Unknown | 97 | 43% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 203 | 90% |
| Scientists | 15 | 7% |
| Science communicators (journalists, bloggers, editors) | 6 | 3% |
| Practitioners (doctors, other healthcare professionals) | 2 | <1% |
Mendeley readers
The data shown below were compiled from readership statistics for 111 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Korea, Republic of | 1 | <1% |
| United Kingdom | 1 | <1% |
| Poland | 1 | <1% |
| Canada | 1 | <1% |
| Unknown | 107 | 96% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 18 | 16% |
| Student > Master | 18 | 16% |
| Student > Bachelor | 17 | 15% |
| Other | 11 | 10% |
| Researcher | 7 | 6% |
| Other | 18 | 16% |
| Unknown | 22 | 20% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 49 | 44% |
| Engineering | 11 | 10% |
| Business, Management and Accounting | 3 | 3% |
| Psychology | 3 | 3% |
| Social Sciences | 3 | 3% |
| Other | 17 | 15% |
| Unknown | 25 | 23% |
Attention Score in Context
This research output has an Altmetric Attention Score of 1311. 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 19 December 2023.
All research outputs
#10,222
of 25,765,370 outputs
Outputs from International Journal of Information Security
#1
of 198 outputs
Outputs of similar age
#152
of 325,741 outputs
Outputs of similar age from International Journal of Information Security
#1
of 3 outputs
Altmetric has tracked 25,765,370 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 99th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 198 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 17.2. This one has done particularly well, scoring higher than 99% 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 325,741 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 99% of its contemporaries.
We're also able to compare this research output to 3 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