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Mendeley readers
Attention Score in Context
Title |
Collaborative Active and Semisupervised Learning for Hyperspectral Remote Sensing Image Classification
|
---|---|
Published in |
IEEE Transactions on Geoscience and Remote Sensing, November 2014
|
DOI | 10.1109/tgrs.2014.2359933 |
Authors |
Lunjun Wan, Ke Tang, Mingzhi Li, Yanfei Zhong, A. K. Qin |
Mendeley readers
The data shown below were compiled from readership statistics for 55 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Spain | 1 | 2% |
Unknown | 54 | 98% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 10 | 18% |
Student > Master | 10 | 18% |
Student > Doctoral Student | 5 | 9% |
Other | 4 | 7% |
Researcher | 3 | 5% |
Other | 12 | 22% |
Unknown | 11 | 20% |
Readers by discipline | Count | As % |
---|---|---|
Computer Science | 17 | 31% |
Engineering | 9 | 16% |
Earth and Planetary Sciences | 6 | 11% |
Arts and Humanities | 2 | 4% |
Psychology | 1 | 2% |
Other | 6 | 11% |
Unknown | 14 | 25% |
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 22 June 2021.
All research outputs
#3,799,086
of 25,377,790 outputs
Outputs from IEEE Transactions on Geoscience and Remote Sensing
#133
of 3,045 outputs
Outputs of similar age
#42,960
of 271,094 outputs
Outputs of similar age from IEEE Transactions on Geoscience and Remote Sensing
#1
of 19 outputs
Altmetric has tracked 25,377,790 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 3,045 research outputs from this source. They receive a mean Attention Score of 4.1. This one has done particularly well, scoring higher than 92% 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 271,094 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 83% of its contemporaries.
We're also able to compare this research output to 19 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 78% of its contemporaries.