You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output.
Click here to find out more.
X Demographics
Mendeley readers
Attention Score in Context
| Chapter title |
Review on Current Trends of Deep Learning
|
|---|---|
| Chapter number | 4 |
| Book title |
Cancer Epigenetics for Precision Medicine
|
| Published in |
Studies in Computational Intelligence, March 2019
|
| DOI | 10.1007/978-3-030-12500-4_4 |
| Book ISBNs |
978-1-4939-8750-4, 978-1-4939-8751-1, 978-3-03-012499-1, 978-3-03-012500-4
|
| Authors |
Stuti Mehla, Anjali Chaudhary, Raman Kumar, Mehla, Stuti, Chaudhary, Anjali, Kumar, Raman |
X Demographics
The data shown below were collected from the profiles of 18 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 | 7 | 39% |
| Hong Kong | 1 | 6% |
| Brunei Darussalam | 1 | 6% |
| Belgium | 1 | 6% |
| Sri Lanka | 1 | 6% |
| Australia | 1 | 6% |
| Unknown | 6 | 33% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 15 | 83% |
| Scientists | 3 | 17% |
Mendeley readers
The data shown below were compiled from readership statistics for 14 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 14 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Other | 2 | 14% |
| Lecturer | 1 | 7% |
| Professor | 1 | 7% |
| Student > Ph. D. Student | 1 | 7% |
| Student > Master | 1 | 7% |
| Other | 2 | 14% |
| Unknown | 6 | 43% |
| Readers by discipline | Count | As % |
|---|---|---|
| Engineering | 3 | 21% |
| Computer Science | 2 | 14% |
| Neuroscience | 1 | 7% |
| Linguistics | 1 | 7% |
| Unknown | 7 | 50% |
Attention Score in Context
This research output has an Altmetric Attention Score of 8. 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 26 March 2019.
All research outputs
#4,665,037
of 25,992,468 outputs
Outputs from Studies in Computational Intelligence
#1
of 1 outputs
Outputs of similar age
#89,087
of 366,447 outputs
Outputs of similar age from Studies in Computational Intelligence
#1
of 1 outputs
Altmetric has tracked 25,992,468 research outputs across all sources so far. Compared to these this one has done well and is in the 82nd percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 8.0. This one scored the same or higher as 0 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 366,447 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 75% of its contemporaries.
We're also able to compare this research output to 1 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