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.
X Demographics
Mendeley readers
Attention Score in Context
Title |
Predicting the Occurrence of Cave-Inhabiting Fauna Based on Features of the Earth Surface Environment
|
---|---|
Published in |
PLOS ONE, August 2016
|
DOI | 10.1371/journal.pone.0160408 |
Pubmed ID | |
Authors |
Mary C. Christman, Daniel H. Doctor, Matthew L. Niemiller, David J. Weary, John A. Young, Kirk S. Zigler, David C. Culver |
X Demographics
The data shown below were collected from the profiles of 9 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
Country | Count | As % |
---|---|---|
United States | 3 | 33% |
Romania | 1 | 11% |
Unknown | 5 | 56% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 4 | 44% |
Scientists | 4 | 44% |
Science communicators (journalists, bloggers, editors) | 1 | 11% |
Mendeley readers
The data shown below were compiled from readership statistics for 72 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Mexico | 1 | 1% |
Spain | 1 | 1% |
United States | 1 | 1% |
Unknown | 69 | 96% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Researcher | 19 | 26% |
Student > Ph. D. Student | 12 | 17% |
Student > Master | 10 | 14% |
Student > Bachelor | 7 | 10% |
Other | 5 | 7% |
Other | 10 | 14% |
Unknown | 9 | 13% |
Readers by discipline | Count | As % |
---|---|---|
Agricultural and Biological Sciences | 40 | 56% |
Environmental Science | 11 | 15% |
Biochemistry, Genetics and Molecular Biology | 4 | 6% |
Social Sciences | 2 | 3% |
Psychology | 1 | 1% |
Other | 2 | 3% |
Unknown | 12 | 17% |
Attention Score in Context
This research output has an Altmetric Attention Score of 11. 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 06 August 2020.
All research outputs
#3,262,121
of 25,837,817 outputs
Outputs from PLOS ONE
#41,309
of 224,660 outputs
Outputs of similar age
#53,148
of 357,296 outputs
Outputs of similar age from PLOS ONE
#747
of 4,315 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 87th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 224,660 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 15.8. This one has done well, scoring higher than 81% 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 357,296 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 85% of its contemporaries.
We're also able to compare this research output to 4,315 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 82% of its contemporaries.