| Title |
Time for Addressing Software Security Issues: Prediction Models and Impacting Factors
|
|---|---|
| Published in |
Data Science and Engineering, September 2016
|
| DOI | 10.1007/s41019-016-0019-8 |
| Authors |
Lotfi Ben Othmane, Golriz Chehrazi, Eric Bodden, Petar Tsalovski, Achim D. Brucker |
X Demographics
The data shown below were collected from the profile of 1 X user 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 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 67 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 67 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 15 | 22% |
| Student > Master | 11 | 16% |
| Student > Bachelor | 7 | 10% |
| Student > Doctoral Student | 5 | 7% |
| Professor | 3 | 4% |
| Other | 9 | 13% |
| Unknown | 17 | 25% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 34 | 51% |
| Engineering | 5 | 7% |
| Business, Management and Accounting | 4 | 6% |
| Unspecified | 1 | 1% |
| Environmental Science | 1 | 1% |
| Other | 3 | 4% |
| Unknown | 19 | 28% |
Attention Score in Context
This research output has an Altmetric Attention Score of 9. 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 21 October 2020.
All research outputs
#3,751,483
of 22,893,031 outputs
Outputs from Data Science and Engineering
#6
of 39 outputs
Outputs of similar age
#63,593
of 322,832 outputs
Outputs of similar age from Data Science and Engineering
#2
of 4 outputs
Altmetric has tracked 22,893,031 research outputs across all sources so far. Compared to these this one has done well and is in the 83rd percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 39 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 10.3. This one scored the same or higher as 33 of them.
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 322,832 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 80% of its contemporaries.
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 2 of them.