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Timeline
X Demographics
Mendeley readers
Attention Score in Context
Title |
itol.toolkit accelerates working with iTOL (Interactive Tree of Life) by an automated generation of annotation files
|
---|---|
Published in |
Bioinformatics, May 2023
|
DOI | 10.1093/bioinformatics/btad339 |
Pubmed ID | |
Authors |
Tong Zhou, Kuidong Xu, Feng Zhao, Weiyue Liu, Longzhao Li, Zhongyi Hua, Xin Zhou |
X Demographics
Geographical breakdown
Country | Count | As % |
---|---|---|
United States | 13 | 8% |
United Kingdom | 9 | 5% |
China | 6 | 3% |
Australia | 5 | 3% |
Spain | 4 | 2% |
Netherlands | 4 | 2% |
Germany | 4 | 2% |
Japan | 3 | 2% |
France | 3 | 2% |
Other | 44 | 26% |
Unknown | 77 | 45% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Scientists | 103 | 60% |
Members of the public | 67 | 39% |
Science communicators (journalists, bloggers, editors) | 1 | <1% |
Practitioners (doctors, other healthcare professionals) | 1 | <1% |
Mendeley readers
The data shown below were compiled from readership statistics for 17 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 17 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 4 | 24% |
Researcher | 3 | 18% |
Student > Doctoral Student | 2 | 12% |
Student > Postgraduate | 2 | 12% |
Student > Bachelor | 1 | 6% |
Other | 2 | 12% |
Unknown | 3 | 18% |
Readers by discipline | Count | As % |
---|---|---|
Agricultural and Biological Sciences | 5 | 29% |
Biochemistry, Genetics and Molecular Biology | 4 | 24% |
Veterinary Science and Veterinary Medicine | 2 | 12% |
Environmental Science | 1 | 6% |
Psychology | 1 | 6% |
Other | 0 | 0% |
Unknown | 4 | 24% |
Attention Score in Context
This research output has an Altmetric Attention Score of 97. 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 13 July 2024.
All research outputs
#472,743
of 26,601,477 outputs
Outputs from Bioinformatics
#54
of 13,167 outputs
Outputs of similar age
#10,334
of 402,481 outputs
Outputs of similar age from Bioinformatics
#1
of 199 outputs
Altmetric has tracked 26,601,477 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 98th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 13,167 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 8.2. This one has done particularly well, scoring higher than 99% 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 402,481 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 97% of its contemporaries.
We're also able to compare this research output to 199 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 99% of its contemporaries.