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X Demographics
Mendeley readers
Attention Score in Context
Title |
Exploratory data analysis (EDA) machine learning approaches for ocean world analog mass spectrometry
|
---|---|
Published in |
Frontiers in Astronomy and Space Sciences, May 2023
|
DOI | 10.3389/fspas.2023.1134141 |
Authors |
Victoria Da Poian, Bethany Theiling, Lily Clough, Brett McKinney, Jonathan Major, Jingyi Chen, Sarah Hörst |
X Demographics
Geographical breakdown
Country | Count | As % |
---|---|---|
United States | 1 | 14% |
Unknown | 6 | 86% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 4 | 57% |
Scientists | 3 | 43% |
Mendeley readers
The data shown below were compiled from readership statistics for 69 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 69 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Unspecified | 5 | 7% |
Student > Bachelor | 5 | 7% |
Student > Master | 3 | 4% |
Lecturer | 2 | 3% |
Researcher | 2 | 3% |
Other | 3 | 4% |
Unknown | 49 | 71% |
Readers by discipline | Count | As % |
---|---|---|
Computer Science | 9 | 13% |
Unspecified | 5 | 7% |
Engineering | 2 | 3% |
Biochemistry, Genetics and Molecular Biology | 1 | 1% |
Social Sciences | 1 | 1% |
Other | 3 | 4% |
Unknown | 48 | 70% |
Attention Score in Context
This research output has an Altmetric Attention Score of 5. 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 19 May 2023.
All research outputs
#6,772,504
of 24,285,692 outputs
Outputs from Frontiers in Astronomy and Space Sciences
#251
of 1,240 outputs
Outputs of similar age
#110,365
of 370,331 outputs
Outputs of similar age from Frontiers in Astronomy and Space Sciences
#8
of 88 outputs
Altmetric has tracked 24,285,692 research outputs across all sources so far. This one has received more attention than most of these and is in the 71st percentile.
So far Altmetric has tracked 1,240 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 9.1. This one has done well, scoring higher than 79% 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 370,331 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 69% of its contemporaries.
We're also able to compare this research output to 88 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 92% of its contemporaries.