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X Demographics
Mendeley readers
Attention Score in Context
| Chapter title |
Malware Detection Using Machine Learning and Deep Learning
|
|---|---|
| Chapter number | 28 |
| Book title |
Big Data Analytics
|
| Published in |
arXiv, December 2018
|
| DOI | 10.1007/978-3-030-04780-1_28 |
| Book ISBNs |
978-3-03-004779-5, 978-3-03-004780-1
|
| Authors |
Hemant Rathore, Swati Agarwal, Sanjay K. Sahay, Mohit Sewak, Rathore, Hemant, Agarwal, Swati, Sahay, Sanjay K., Sewak, Mohit |
X Demographics
The data shown below were collected from the profiles of 44 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 | 8 | 18% |
| India | 3 | 7% |
| Japan | 2 | 5% |
| Austria | 2 | 5% |
| Switzerland | 2 | 5% |
| Myanmar | 1 | 2% |
| Czechia | 1 | 2% |
| Germany | 1 | 2% |
| Pakistan | 1 | 2% |
| Other | 6 | 14% |
| Unknown | 17 | 39% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 39 | 89% |
| Scientists | 5 | 11% |
Mendeley readers
The data shown below were compiled from readership statistics for 167 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 167 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 16 | 10% |
| Student > Ph. D. Student | 15 | 9% |
| Student > Bachelor | 13 | 8% |
| Researcher | 8 | 5% |
| Student > Doctoral Student | 5 | 3% |
| Other | 17 | 10% |
| Unknown | 93 | 56% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 54 | 32% |
| Engineering | 9 | 5% |
| Unspecified | 4 | 2% |
| Pharmacology, Toxicology and Pharmaceutical Science | 1 | <1% |
| Agricultural and Biological Sciences | 1 | <1% |
| Other | 3 | 2% |
| Unknown | 95 | 57% |
Attention Score in Context
This research output has an Altmetric Attention Score of 27. 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 01 June 2021.
All research outputs
#1,407,437
of 24,980,180 outputs
Outputs from arXiv
#21,615
of 1,018,038 outputs
Outputs of similar age
#32,127
of 446,672 outputs
Outputs of similar age from arXiv
#545
of 23,374 outputs
Altmetric has tracked 24,980,180 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 94th percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,018,038 research outputs from this source. They receive a mean Attention Score of 4.1. This one has done particularly well, scoring higher than 97% 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 446,672 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 92% of its contemporaries.
We're also able to compare this research output to 23,374 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 97% of its contemporaries.