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X Demographics
Mendeley readers
Attention Score in Context
| Chapter title |
Convergence Analysis of Backpropagation Algorithm for Designing an Intelligent System for Sensing Manhole Gases
|
|---|---|
| Chapter number | 7 |
| Book title |
Hybrid Soft Computing Approaches
|
| Published in |
arXiv, July 2017
|
| DOI | 10.1007/978-81-322-2544-7_7 |
| Book ISBNs |
978-8-13-222543-0, 978-8-13-222544-7
|
| Authors |
Varun Kumar Ojha, Paramartha Dutta, Atal Chaudhuri, Hiranmay Saha, Ojha, Varun Kumar, Dutta, Paramartha, Chaudhuri, Atal, Saha, Hiranmay |
X Demographics
The data shown below were collected from the profiles of 2 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 2 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 2 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 12 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 12 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 2 | 17% |
| Unspecified | 1 | 8% |
| Researcher | 1 | 8% |
| Student > Doctoral Student | 1 | 8% |
| Lecturer > Senior Lecturer | 1 | 8% |
| Other | 0 | 0% |
| Unknown | 6 | 50% |
| Readers by discipline | Count | As % |
|---|---|---|
| Unspecified | 1 | 8% |
| Mathematics | 1 | 8% |
| Computer Science | 1 | 8% |
| Engineering | 1 | 8% |
| Unknown | 8 | 67% |
Attention Score in Context
This research output has an Altmetric Attention Score of 1. 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 07 July 2017.
All research outputs
#15,467,628
of 22,985,065 outputs
Outputs from arXiv
#375,784
of 943,182 outputs
Outputs of similar age
#197,375
of 313,520 outputs
Outputs of similar age from arXiv
#9,493
of 18,962 outputs
Altmetric has tracked 22,985,065 research outputs across all sources so far. This one is in the 22nd percentile – i.e., 22% of other outputs scored the same or lower than it.
So far Altmetric has tracked 943,182 research outputs from this source. They receive a mean Attention Score of 3.9. This one has gotten more attention than average, scoring higher than 53% 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 313,520 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 28th percentile – i.e., 28% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 18,962 others from the same source and published within six weeks on either side of this one. This one is in the 38th percentile – i.e., 38% of its contemporaries scored the same or lower than it.