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X Demographics
Mendeley readers
Attention Score in Context
| Chapter title |
Measuring Accuracy of Automated Parsing and Categorization Tools and Processes in Digital Investigations
|
|---|---|
| Chapter number | 11 |
| Book title |
Digital Forensics and Cyber Crime
|
| Published in |
arXiv, September 2013
|
| DOI | 10.1007/978-3-319-14289-0_11 |
| Book ISBNs |
978-3-31-914288-3, 978-3-31-914289-0
|
| Authors |
Joshua I. James, Alejandra Lopez-Fernandez, Pavel Gladyhsev, Pavel Gladyshev, James, Joshua I., Lopez-Fernandez, Alejandra, Gladyhsev, Pavel |
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 % |
|---|---|---|
| Australia | 1 | 25% |
| Czechia | 1 | 25% |
| Unknown | 2 | 50% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 4 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 11 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 11 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 3 | 27% |
| Other | 2 | 18% |
| Student > Master | 2 | 18% |
| Lecturer | 1 | 9% |
| Researcher | 1 | 9% |
| Other | 1 | 9% |
| Unknown | 1 | 9% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 8 | 73% |
| Engineering | 1 | 9% |
| Unknown | 2 | 18% |
Attention Score in Context
This research output has an Altmetric Attention Score of 3. 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 29 April 2019.
All research outputs
#14,133,340
of 24,833,726 outputs
Outputs from arXiv
#199,222
of 1,009,175 outputs
Outputs of similar age
#106,764
of 209,411 outputs
Outputs of similar age from arXiv
#990
of 10,182 outputs
Altmetric has tracked 24,833,726 research outputs across all sources so far. This one is in the 42nd percentile – i.e., 42% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,009,175 research outputs from this source. They receive a mean Attention Score of 4.1. This one has done well, scoring higher than 80% 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 209,411 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 48th percentile – i.e., 48% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 10,182 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 90% of its contemporaries.