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X Demographics
Mendeley readers
Attention Score in Context
Title |
ConvLSTMConv network: a deep learning approach for sentiment analysis in cloud computing
|
---|---|
Published in |
Journal of Cloud Computing, March 2020
|
DOI | 10.1186/s13677-020-00162-1 |
Authors |
Mohsen Ghorbani, Mahdi Bahaghighat, Qin Xin, Figen Özen |
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 % |
---|---|---|
Germany | 1 | 50% |
Unknown | 1 | 50% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 2 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 135 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 135 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Master | 15 | 11% |
Lecturer | 12 | 9% |
Student > Bachelor | 12 | 9% |
Student > Postgraduate | 7 | 5% |
Student > Ph. D. Student | 6 | 4% |
Other | 17 | 13% |
Unknown | 66 | 49% |
Readers by discipline | Count | As % |
---|---|---|
Computer Science | 42 | 31% |
Engineering | 11 | 8% |
Business, Management and Accounting | 4 | 3% |
Linguistics | 2 | 1% |
Social Sciences | 2 | 1% |
Other | 3 | 2% |
Unknown | 71 | 53% |
Attention Score in Context
This research output has an Altmetric Attention Score of 2. 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 12 September 2020.
All research outputs
#14,476,367
of 23,197,711 outputs
Outputs from Journal of Cloud Computing
#65
of 256 outputs
Outputs of similar age
#198,134
of 361,698 outputs
Outputs of similar age from Journal of Cloud Computing
#2
of 17 outputs
Altmetric has tracked 23,197,711 research outputs across all sources so far. This one is in the 35th percentile – i.e., 35% of other outputs scored the same or lower than it.
So far Altmetric has tracked 256 research outputs from this source. They receive a mean Attention Score of 2.1. This one has gotten more attention than average, scoring higher than 67% 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 361,698 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 42nd percentile – i.e., 42% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 17 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 76% of its contemporaries.