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Integrating catchment land cover data to remotely assess freshwater quality: a step forward in heterogeneity analysis of river networks

Overview of attention for article published in Aquatic Sciences, January 2019
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About this Attention Score

  • Average Attention Score compared to outputs of the same age
  • Above-average Attention Score compared to outputs of the same age and source (52nd percentile)

Mentioned by

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5 X users

Citations

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7 Dimensions

Readers on

mendeley
33 Mendeley
Title
Integrating catchment land cover data to remotely assess freshwater quality: a step forward in heterogeneity analysis of river networks
Published in
Aquatic Sciences, January 2019
DOI 10.1007/s00027-019-0624-5
Authors

Ionuţ Şandric, Alina Satmari, Claudia Zaharia, Milca Petrovici, Mirela Cîmpean, Karina-Paula Battes, Dragomir-Cosmin David, Octavian Pacioglu, András Weiperth, Blanka Gál, Mălina Pîrvu, Hanelore Muntean, Marian Neagul, Adrian Spătaru, Claudiu G. Toma, Lucian Pârvulescu

X Demographics

X Demographics

The data shown below were collected from the profiles of 5 X users 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 33 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 33 100%

Demographic breakdown

Readers by professional status Count As %
Lecturer 5 15%
Researcher 5 15%
Student > Master 4 12%
Student > Ph. D. Student 4 12%
Professor 3 9%
Other 2 6%
Unknown 10 30%
Readers by discipline Count As %
Agricultural and Biological Sciences 7 21%
Environmental Science 6 18%
Engineering 2 6%
Pharmacology, Toxicology and Pharmaceutical Science 2 6%
Earth and Planetary Sciences 2 6%
Other 2 6%
Unknown 12 36%
Attention Score in Context

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 24 January 2019.
All research outputs
#14,436,464
of 23,124,001 outputs
Outputs from Aquatic Sciences
#324
of 637 outputs
Outputs of similar age
#237,067
of 437,851 outputs
Outputs of similar age from Aquatic Sciences
#10
of 25 outputs
Altmetric has tracked 23,124,001 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 637 research outputs from this source. They receive a mean Attention Score of 3.7. This one is in the 46th percentile – i.e., 46% 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 437,851 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 43rd percentile – i.e., 43% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 25 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 52% of its contemporaries.