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X Demographics
Mendeley readers
Attention Score in Context
Title |
Deep analysis and optimization of CARD antibiotic resistance gene discovery models
|
---|---|
Published in |
BMC Genomics, December 2019
|
DOI | 10.1186/s12864-019-6318-5 |
Pubmed ID | |
Authors |
Haobin Yao, Siu-Ming Yiu |
X Demographics
The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
Country | Count | As % |
---|---|---|
United Kingdom | 1 | 100% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 45 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 45 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 7 | 16% |
Student > Master | 5 | 11% |
Student > Bachelor | 5 | 11% |
Student > Postgraduate | 4 | 9% |
Student > Doctoral Student | 2 | 4% |
Other | 8 | 18% |
Unknown | 14 | 31% |
Readers by discipline | Count | As % |
---|---|---|
Biochemistry, Genetics and Molecular Biology | 8 | 18% |
Agricultural and Biological Sciences | 5 | 11% |
Immunology and Microbiology | 3 | 7% |
Medicine and Dentistry | 2 | 4% |
Veterinary Science and Veterinary Medicine | 1 | 2% |
Other | 8 | 18% |
Unknown | 18 | 40% |
Attention Score in Context
This research output has an Altmetric Attention Score of 1. 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 03 January 2020.
All research outputs
#15,593,944
of 23,184,056 outputs
Outputs from BMC Genomics
#6,723
of 10,719 outputs
Outputs of similar age
#274,607
of 457,051 outputs
Outputs of similar age from BMC Genomics
#138
of 260 outputs
Altmetric has tracked 23,184,056 research outputs across all sources so far. This one is in the 22nd percentile – i.e., 22% of other outputs scored the same or lower than it.
So far Altmetric has tracked 10,719 research outputs from this source. They receive a mean Attention Score of 4.7. This one is in the 29th percentile – i.e., 29% 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 457,051 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 30th percentile – i.e., 30% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 260 others from the same source and published within six weeks on either side of this one. This one is in the 42nd percentile – i.e., 42% of its contemporaries scored the same or lower than it.