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X Demographics
Mendeley readers
Attention Score in Context
Title |
MP4: a machine learning based classification tool for prediction and functional annotation of pathogenic proteins from metagenomic and genomic datasets
|
---|---|
Published in |
BMC Bioinformatics, November 2022
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DOI | 10.1186/s12859-022-05061-7 |
Pubmed ID | |
Authors |
Ankit Gupta, Aditya S. Malwe, Gopal N. Srivastava, Parikshit Thoudam, Keshav Hibare, Vineet K. Sharma |
X Demographics
The data shown below were collected from the profiles of 19 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
Country | Count | As % |
---|---|---|
France | 2 | 11% |
Germany | 1 | 5% |
United States | 1 | 5% |
Australia | 1 | 5% |
India | 1 | 5% |
Estonia | 1 | 5% |
Greece | 1 | 5% |
Netherlands | 1 | 5% |
Spain | 1 | 5% |
Other | 2 | 11% |
Unknown | 7 | 37% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Scientists | 12 | 63% |
Members of the public | 7 | 37% |
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 % |
---|---|---|
Researcher | 3 | 18% |
Student > Ph. D. Student | 1 | 6% |
Professor > Associate Professor | 1 | 6% |
Student > Doctoral Student | 1 | 6% |
Unknown | 11 | 65% |
Readers by discipline | Count | As % |
---|---|---|
Biochemistry, Genetics and Molecular Biology | 4 | 24% |
Nursing and Health Professions | 1 | 6% |
Agricultural and Biological Sciences | 1 | 6% |
Unknown | 11 | 65% |
Attention Score in Context
This research output has an Altmetric Attention Score of 10. 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 11 July 2023.
All research outputs
#3,508,849
of 24,157,645 outputs
Outputs from BMC Bioinformatics
#1,235
of 7,507 outputs
Outputs of similar age
#71,975
of 457,609 outputs
Outputs of similar age from BMC Bioinformatics
#19
of 160 outputs
Altmetric has tracked 24,157,645 research outputs across all sources so far. Compared to these this one has done well and is in the 85th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 7,507 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 well, scoring higher than 83% 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 457,609 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 84% of its contemporaries.
We're also able to compare this research output to 160 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 88% of its contemporaries.