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X Demographics
Mendeley readers
Attention Score in Context
Title |
An interpretable approach for automatic aesthetic assessment of remote sensing images
|
---|---|
Published in |
Frontiers in Computational Neuroscience, November 2022
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DOI | 10.3389/fncom.2022.1077439 |
Pubmed ID | |
Authors |
Jingru Tong, Guo Zhang, Peijie Kong, Yu Rao, Zhengkai Wei, Hao Cui, Qing Guan |
X Demographics
Geographical breakdown
Country | Count | As % |
---|---|---|
United States | 1 | 100% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Scientists | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 6 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 6 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Master | 2 | 33% |
Student > Bachelor | 1 | 17% |
Unknown | 3 | 50% |
Readers by discipline | Count | As % |
---|---|---|
Engineering | 2 | 33% |
Environmental Science | 1 | 17% |
Unknown | 3 | 50% |
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 27 November 2022.
All research outputs
#20,613,214
of 23,202,641 outputs
Outputs from Frontiers in Computational Neuroscience
#1,175
of 1,365 outputs
Outputs of similar age
#347,974
of 440,006 outputs
Outputs of similar age from Frontiers in Computational Neuroscience
#23
of 37 outputs
Altmetric has tracked 23,202,641 research outputs across all sources so far. This one is in the 1st percentile – i.e., 1% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,365 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.1. This one is in the 1st percentile – i.e., 1% of its peers scored the same or lower than it.
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 440,006 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 37 others from the same source and published within six weeks on either side of this one. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.