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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Large Scale Subject Category Classification of Scholarly Papers With Deep Attentive Neural Networks
|
|---|---|
| Published in |
Research Metrics and Analytics (RMA), February 2021
|
| DOI | 10.3389/frma.2020.600382 |
| Pubmed ID | |
| Authors |
Bharath Kandimalla, Shaurya Rohatgi, Jian Wu, C. Lee Giles |
X Demographics
The data shown below were collected from the profiles of 15 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 | 11 | 73% |
| India | 1 | 7% |
| Germany | 1 | 7% |
| Unknown | 2 | 13% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 8 | 53% |
| Scientists | 7 | 47% |
Mendeley readers
The data shown below were compiled from readership statistics for 27 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 27 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 5 | 19% |
| Student > Ph. D. Student | 3 | 11% |
| Student > Bachelor | 2 | 7% |
| Professor | 2 | 7% |
| Librarian | 1 | 4% |
| Other | 4 | 15% |
| Unknown | 10 | 37% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 5 | 19% |
| Engineering | 4 | 15% |
| Linguistics | 1 | 4% |
| Nursing and Health Professions | 1 | 4% |
| Unspecified | 1 | 4% |
| Other | 4 | 15% |
| Unknown | 11 | 41% |
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 10 February 2021.
All research outputs
#4,183,082
of 25,387,668 outputs
Outputs from Research Metrics and Analytics (RMA)
#139
of 356 outputs
Outputs of similar age
#111,643
of 537,132 outputs
Outputs of similar age from Research Metrics and Analytics (RMA)
#10
of 15 outputs
Altmetric has tracked 25,387,668 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 356 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 14.2. This one has gotten more attention than average, scoring higher than 60% 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 537,132 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 79% of its contemporaries.
We're also able to compare this research output to 15 others from the same source and published within six weeks on either side of this one. This one is in the 33rd percentile – i.e., 33% of its contemporaries scored the same or lower than it.