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Timeline
Attention over time
Attention Score history
X Demographics
Mendeley readers
Attention Score in Context
| Title |
DeepAMR for predicting co-occurrent resistance of Mycobacterium tuberculosis
|
|---|---|
| Published in |
Bioinformatics, January 2019
|
| DOI | 10.1093/bioinformatics/btz067 |
| Pubmed ID | |
| Authors |
Yang Yang, Timothy M Walker, A Sarah Walker, Daniel J Wilson, Timothy E A Peto, Derrick W Crook, Farah Shamout, Irena Arandjelovic, Iñaki Comas, Maha R Farhat, Qian Gao, Vitali Sintchenko, Dick van Soolingen, Sarah Hoosdally, Ana L Gibertoni Cruz, Joshua Carter, Clara Grazian, Sarah G Earle, Samaneh Kouchaki, Yang Yang, Timothy M Walker, Philip W Fowler, David A Clifton, Zamin Iqbal, Martin Hunt, E Grace Smith, Priti Rathod, Lisa Jarrett, Daniela Matias, Daniela M Cirillo, Emanuele Borroni, Simone Battaglia, Arash Ghodousi, Andrea Spitaleri, Andrea Cabibbe, Sabira Tahseen, Kayzad Nilgiriwala, Sanchi Shah, Camilla Rodrigues, Priti Kambli, Utkarsha Surve, Rukhsar Khot, Stefan Niemann, Thomas Kohl, Matthias Merker, Harald Hoffmann, Nikolay Molodtsov, Sara Plesnik, Nazir Ismail, Guy Thwaites, Thuong Nguyen Thuy Thuong, Nhung Hoang Ngoc, Vijay Srinivasan, David Moore, David Jorge Coronel, Walter Solano, George F Gao, Guangxue He, Yanlin Zhao, Aijing Ma, Chunfa Liu, Baoli Zhu, Ian Laurenson, Pauline Claxton, Anastasia Koch, Robert Wilkinson, Ajit Lalvani, James Posey, James Jennifer Gardy, Jim Werngren, Nicholas Paton, Ruwen Jou, Mei-Hua Wu, Wan-Hsuan Lin, Lucilaine Ferrazoli, Rosangela Siqueira de Oliveira, São Paulo, Tingting Zhu, David A Clifton |
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X Demographics
The data shown below were collected from the profiles of 6 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United Kingdom | 2 | 33% |
| Australia | 1 | 17% |
| South Africa | 1 | 17% |
| Unknown | 2 | 33% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 4 | 67% |
| Scientists | 2 | 33% |
Mendeley readers
The data shown below were compiled from readership statistics for 181 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 181 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 21 | 12% |
| Researcher | 21 | 12% |
| Unspecified | 18 | 10% |
| Student > Ph. D. Student | 16 | 9% |
| Other | 13 | 7% |
| Other | 30 | 17% |
| Unknown | 62 | 34% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 26 | 14% |
| Unspecified | 18 | 10% |
| Computer Science | 16 | 9% |
| Medicine and Dentistry | 14 | 8% |
| Agricultural and Biological Sciences | 9 | 5% |
| Other | 25 | 14% |
| Unknown | 73 | 40% |
Attention Score in Context
This research output has an Altmetric Attention Score of 13. 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 20 December 2025.
All research outputs
#3,542,940
of 33,610,548 outputs
Outputs from Bioinformatics
#2,410
of 14,287 outputs
Outputs of similar age
#63,600
of 482,722 outputs
Outputs of similar age from Bioinformatics
#32
of 209 outputs
Altmetric has tracked 33,610,548 research outputs across all sources so far. Compared to these this one has done well and is in the 89th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 14,287 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 8.1. 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 482,722 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 87% of its contemporaries.
We're also able to compare this research output to 209 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 84% of its contemporaries.