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X Demographics
Mendeley readers
Attention Score in Context
Title |
The Xenopus phenotype ontology: bridging model organism phenotype data to human health and development
|
---|---|
Published in |
BMC Bioinformatics, March 2022
|
DOI | 10.1186/s12859-022-04636-8 |
Pubmed ID | |
Authors |
Malcolm E. Fisher, Erik Segerdell, Nicolas Matentzoglu, Mardi J. Nenni, Joshua D. Fortriede, Stanley Chu, Troy J. Pells, David Osumi-Sutherland, Praneet Chaturvedi, Christina James-Zorn, Nivitha Sundararaj, Vaneet S. Lotay, Virgilio Ponferrada, Dong Zhuo Wang, Eugene Kim, Sergei Agalakov, Bradley I. Arshinoff, Kamran Karimi, Peter D. Vize, Aaron M. Zorn |
X Demographics
The data shown below were collected from the profiles of 39 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 | 9 | 23% |
Germany | 2 | 5% |
United Kingdom | 2 | 5% |
Belgium | 1 | 3% |
Canada | 1 | 3% |
Spain | 1 | 3% |
South Africa | 1 | 3% |
Sweden | 1 | 3% |
Unknown | 21 | 54% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Scientists | 23 | 59% |
Members of the public | 15 | 38% |
Science communicators (journalists, bloggers, editors) | 1 | 3% |
Mendeley readers
The data shown below were compiled from readership statistics for 13 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 13 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Researcher | 3 | 23% |
Student > Ph. D. Student | 2 | 15% |
Other | 1 | 8% |
Student > Master | 1 | 8% |
Professor > Associate Professor | 1 | 8% |
Other | 0 | 0% |
Unknown | 5 | 38% |
Readers by discipline | Count | As % |
---|---|---|
Agricultural and Biological Sciences | 3 | 23% |
Biochemistry, Genetics and Molecular Biology | 2 | 15% |
Arts and Humanities | 1 | 8% |
Physics and Astronomy | 1 | 8% |
Engineering | 1 | 8% |
Other | 0 | 0% |
Unknown | 5 | 38% |
Attention Score in Context
This research output has an Altmetric Attention Score of 22. 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 August 2022.
All research outputs
#1,714,111
of 25,376,589 outputs
Outputs from BMC Bioinformatics
#302
of 7,690 outputs
Outputs of similar age
#39,876
of 436,902 outputs
Outputs of similar age from BMC Bioinformatics
#4
of 113 outputs
Altmetric has tracked 25,376,589 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 93rd percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 7,690 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.5. This one has done particularly well, scoring higher than 96% 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 436,902 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 90% of its contemporaries.
We're also able to compare this research output to 113 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 97% of its contemporaries.