The data shown below were collected from the profiles of 11 X users who shared this research output. Click here to find out more about how the information was compiled.
As of 1 July 2024, you may notice a temporary increase in the numbers of X profiles with Unknown location. Click here to learn more.
You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output.
Click here to find out more.
X Demographics
Mendeley readers
Attention Score in Context
Title |
Evaluation of Machine Learning Models for Predicting Antimicrobial Resistance of Actinobacillus pleuropneumoniae From Whole Genome Sequences
|
---|---|
Published in |
Frontiers in Microbiology, February 2020
|
DOI | 10.3389/fmicb.2020.00048 |
Pubmed ID | |
Authors |
Zhichang Liu, Dun Deng, Huijie Lu, Jian Sun, Luchao Lv, Shuhong Li, Guanghui Peng, Xianyong Ma, Jiazhou Li, Zhenming Li, Ting Rong, Gang Wang |
X Demographics
Geographical breakdown
Country | Count | As % |
---|---|---|
Côte d'Ivoire | 1 | 9% |
Pakistan | 1 | 9% |
Nigeria | 1 | 9% |
Venezuela, Bolivarian Republic of | 1 | 9% |
Peru | 1 | 9% |
Unknown | 6 | 55% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 7 | 64% |
Scientists | 2 | 18% |
Practitioners (doctors, other healthcare professionals) | 1 | 9% |
Science communicators (journalists, bloggers, editors) | 1 | 9% |
Mendeley readers
The data shown below were compiled from readership statistics for 132 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 132 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Master | 22 | 17% |
Researcher | 15 | 11% |
Student > Bachelor | 14 | 11% |
Student > Ph. D. Student | 10 | 8% |
Student > Postgraduate | 7 | 5% |
Other | 16 | 12% |
Unknown | 48 | 36% |
Readers by discipline | Count | As % |
---|---|---|
Biochemistry, Genetics and Molecular Biology | 20 | 15% |
Agricultural and Biological Sciences | 16 | 12% |
Computer Science | 11 | 8% |
Medicine and Dentistry | 6 | 5% |
Immunology and Microbiology | 5 | 4% |
Other | 19 | 14% |
Unknown | 55 | 42% |
Attention Score in Context
This research output has an Altmetric Attention Score of 7. 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 08 July 2023.
All research outputs
#5,375,216
of 26,017,215 outputs
Outputs from Frontiers in Microbiology
#5,189
of 29,761 outputs
Outputs of similar age
#119,864
of 478,620 outputs
Outputs of similar age from Frontiers in Microbiology
#120
of 661 outputs
Altmetric has tracked 26,017,215 research outputs across all sources so far. Compared to these this one has done well and is in the 79th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 29,761 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.5. This one has done well, scoring higher than 82% 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 478,620 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 74% of its contemporaries.
We're also able to compare this research output to 661 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 81% of its contemporaries.