Title |
Recent Advances in the Application of Hyperspectral Imaging for Evaluating Fruit Quality
|
---|---|
Published in |
Food Analytical Methods, May 2015
|
DOI | 10.1007/s12161-015-0153-3 |
Authors |
Nan-Nan Wang, Da-Wen Sun, Yi-Chao Yang, Hongbin Pu, Zhiwei Zhu |
X Demographics
The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 1 | 100% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 95 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Indonesia | 1 | 1% |
India | 1 | 1% |
Australia | 1 | 1% |
Unknown | 92 | 97% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Researcher | 15 | 16% |
Student > Master | 12 | 13% |
Student > Ph. D. Student | 11 | 12% |
Student > Bachelor | 11 | 12% |
Student > Doctoral Student | 6 | 6% |
Other | 13 | 14% |
Unknown | 27 | 28% |
Readers by discipline | Count | As % |
---|---|---|
Agricultural and Biological Sciences | 25 | 26% |
Engineering | 19 | 20% |
Computer Science | 6 | 6% |
Physics and Astronomy | 6 | 6% |
Chemistry | 4 | 4% |
Other | 6 | 6% |
Unknown | 29 | 31% |
Attention Score in Context
This research output has an Altmetric Attention Score of 10. 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 13 September 2022.
All research outputs
#3,484,692
of 25,837,817 outputs
Outputs from Food Analytical Methods
#17
of 687 outputs
Outputs of similar age
#42,845
of 281,039 outputs
Outputs of similar age from Food Analytical Methods
#1
of 8 outputs
Altmetric has tracked 25,837,817 research outputs across all sources so far. Compared to these this one has done well and is in the 85th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 687 research outputs from this source. They receive a mean Attention Score of 2.1. This one has done particularly well, scoring higher than 96% 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 281,039 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 8 others from the same source and published within six weeks on either side of this one. This one has scored higher than all of them