| Title |
A biologist's guide to model selection and causal inference
|
|---|---|
| Published in |
Proceedings of the Royal Society B: Biological Sciences, January 2021
|
| DOI | 10.1098/rspb.2020.2815 |
| Pubmed ID | |
| Authors |
Zachary M. Laubach, Eleanor J. Murray, Kim L. Hoke, Rebecca J. Safran, Wei Perng |
X Demographics
The data shown below were collected from the profiles of 108 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 | 38 | 35% |
| United Kingdom | 13 | 12% |
| Canada | 5 | 5% |
| France | 3 | 3% |
| Germany | 3 | 3% |
| Sweden | 2 | 2% |
| Spain | 2 | 2% |
| Colombia | 1 | <1% |
| Australia | 1 | <1% |
| Other | 6 | 6% |
| Unknown | 34 | 31% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 51 | 47% |
| Members of the public | 51 | 47% |
| Practitioners (doctors, other healthcare professionals) | 3 | 3% |
| Science communicators (journalists, bloggers, editors) | 3 | 3% |
Mendeley readers
The data shown below were compiled from readership statistics for 224 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 224 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 48 | 21% |
| Researcher | 45 | 20% |
| Student > Master | 33 | 15% |
| Other | 11 | 5% |
| Student > Bachelor | 10 | 4% |
| Other | 29 | 13% |
| Unknown | 48 | 21% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 81 | 36% |
| Environmental Science | 25 | 11% |
| Medicine and Dentistry | 11 | 5% |
| Biochemistry, Genetics and Molecular Biology | 8 | 4% |
| Psychology | 5 | 2% |
| Other | 27 | 12% |
| Unknown | 67 | 30% |
Attention Score in Context
This research output has an Altmetric Attention Score of 65. 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 14 April 2023.
All research outputs
#669,629
of 25,711,518 outputs
Outputs from Proceedings of the Royal Society B: Biological Sciences
#1,668
of 11,410 outputs
Outputs of similar age
#19,486
of 535,770 outputs
Outputs of similar age from Proceedings of the Royal Society B: Biological Sciences
#48
of 190 outputs
Altmetric has tracked 25,711,518 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 97th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 11,410 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 40.6. This one has done well, scoring higher than 85% 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 535,770 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 96% of its contemporaries.
We're also able to compare this research output to 190 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 74% of its contemporaries.