The data shown below were collected from the profiles of 34 X users who shared this research output. Click here to find out more about how the information was compiled.
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Timeline
X Demographics
Mendeley readers
Attention Score in Context
Title |
Xenbase: Facilitating the Use of Xenopus to Model Human Disease
|
---|---|
Published in |
Frontiers in Physiology, February 2019
|
DOI | 10.3389/fphys.2019.00154 |
Pubmed ID | |
Authors |
Mardi J. Nenni, Malcolm E. Fisher, Christina James-Zorn, Troy J. Pells, Virgilio Ponferrada, Stanley Chu, Joshua D. Fortriede, Kevin A. Burns, Ying Wang, Vaneet S. Lotay, Dong Zhou Wang, Erik Segerdell, Praneet Chaturvedi, Kamran Karimi, Peter D. Vize, Aaron M. Zorn |
X Demographics
Geographical breakdown
Country | Count | As % |
---|---|---|
United States | 7 | 21% |
United Kingdom | 3 | 9% |
Belgium | 2 | 6% |
Austria | 1 | 3% |
Japan | 1 | 3% |
Switzerland | 1 | 3% |
Netherlands | 1 | 3% |
Canada | 1 | 3% |
Germany | 1 | 3% |
Other | 1 | 3% |
Unknown | 15 | 44% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 20 | 59% |
Scientists | 13 | 38% |
Science communicators (journalists, bloggers, editors) | 1 | 3% |
Mendeley readers
The data shown below were compiled from readership statistics for 104 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 104 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 17 | 16% |
Student > Bachelor | 13 | 13% |
Researcher | 12 | 12% |
Student > Master | 6 | 6% |
Student > Doctoral Student | 5 | 5% |
Other | 8 | 8% |
Unknown | 43 | 41% |
Readers by discipline | Count | As % |
---|---|---|
Biochemistry, Genetics and Molecular Biology | 26 | 25% |
Agricultural and Biological Sciences | 12 | 12% |
Medicine and Dentistry | 7 | 7% |
Computer Science | 4 | 4% |
Chemistry | 3 | 3% |
Other | 7 | 7% |
Unknown | 45 | 43% |
Attention Score in Context
This research output has an Altmetric Attention Score of 35. 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 12 March 2024.
All research outputs
#1,235,609
of 26,591,670 outputs
Outputs from Frontiers in Physiology
#674
of 15,908 outputs
Outputs of similar age
#27,745
of 370,612 outputs
Outputs of similar age from Frontiers in Physiology
#31
of 434 outputs
Altmetric has tracked 26,591,670 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 95th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 15,908 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 8.5. This one has done particularly well, scoring higher than 95% 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 370,612 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 92% of its contemporaries.
We're also able to compare this research output to 434 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.