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smORFunction: a tool for predicting functions of small open reading frames and microproteins

Overview of attention for article published in BMC Bioinformatics, October 2020
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About this Attention Score

  • Average Attention Score compared to outputs of the same age

Mentioned by

twitter
4 X users

Citations

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16 Dimensions

Readers on

mendeley
56 Mendeley
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Title
smORFunction: a tool for predicting functions of small open reading frames and microproteins
Published in
BMC Bioinformatics, October 2020
DOI 10.1186/s12859-020-03805-x
Pubmed ID
Authors

Xiangwen Ji, Chunmei Cui, Qinghua Cui

X Demographics

X Demographics

The data shown below were collected from the profiles of 4 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 56 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 56 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 8 14%
Student > Master 8 14%
Student > Bachelor 8 14%
Student > Ph. D. Student 4 7%
Student > Postgraduate 3 5%
Other 7 13%
Unknown 18 32%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 20 36%
Agricultural and Biological Sciences 6 11%
Computer Science 2 4%
Medicine and Dentistry 2 4%
Immunology and Microbiology 2 4%
Other 3 5%
Unknown 21 38%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 2. 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 26 October 2020.
All research outputs
#15,108,354
of 23,248,929 outputs
Outputs from BMC Bioinformatics
#5,121
of 7,362 outputs
Outputs of similar age
#243,296
of 415,857 outputs
Outputs of similar age from BMC Bioinformatics
#128
of 172 outputs
Altmetric has tracked 23,248,929 research outputs across all sources so far. This one is in the 32nd percentile – i.e., 32% of other outputs scored the same or lower than it.
So far Altmetric has tracked 7,362 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.4. This one is in the 25th percentile – i.e., 25% of its peers scored the same or lower than it.
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 415,857 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 38th percentile – i.e., 38% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 172 others from the same source and published within six weeks on either side of this one. This one is in the 19th percentile – i.e., 19% of its contemporaries scored the same or lower than it.