↓ Skip to main content

Plant species identification using digital morphometrics: A review

Overview of attention for article published in Expert Systems with Applications, June 2012
Altmetric Badge

About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (81st percentile)
  • High Attention Score compared to outputs of the same age and source (95th percentile)

Mentioned by

twitter
1 X user
patent
2 patents
googleplus
1 Google+ user

Readers on

mendeley
504 Mendeley
You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output. Click here to find out more.
Article details
Title
Plant species identification using digital morphometrics: A review
Published in
Expert Systems with Applications, June 2012
DOI 10.1016/j.eswa.2012.01.073
Authors

Login to access the Attention Digest and the Sentiment Analysis related to this output.

Timeline Attention over time Attention Score history
Login to access the full charts related to this output.
X Demographics

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.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 504 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Geographical breakdown
Country Count As %
United States 3 <1%
Germany 3 <1%
Brazil 3 <1%
Mexico 2 <1%
India 2 <1%
Indonesia 2 <1%
United Kingdom 2 <1%
Switzerland 2 <1%
South Africa 1 <1%
Other 5 <1%
Unknown 479 95%

Demographic breakdown

Readers by professional status
Readers by professional status Count As %
Student > Ph. D. Student 73 14%
Student > Master 73 14%
Researcher 62 12%
Student > Bachelor 49 10%
Student > Doctoral Student 36 7%
Other 82 16%
Unknown 129 26%
Readers by discipline
Readers by discipline Count As %
Agricultural and Biological Sciences 159 32%
Computer Science 68 13%
Engineering 39 8%
Environmental Science 31 6%
Earth and Planetary Sciences 17 3%
Other 50 10%
Unknown 140 28%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 8. 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 25 November 2021.
All research outputs
#5,219,679
of 27,780,120 outputs
Outputs from Expert Systems with Applications
#293
of 4,607 outputs
Outputs of similar age
#33,136
of 185,298 outputs
Outputs of similar age from Expert Systems with Applications
#2
of 40 outputs
Altmetric has tracked 27,780,120 research outputs across all sources so far. Compared to these this one has done well and is in the 81st percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 4,607 research outputs from this source. They receive a mean Attention Score of 2.8. This one has done particularly well, scoring higher than 93% 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 185,298 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 81% of its contemporaries.
We're also able to compare this research output to 40 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 95% of its contemporaries.