The data shown below were collected from the profiles of 2 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 |
Identifying Robust Microbiota Signatures and Interpretable Rules to Distinguish Cancer Subtypes
|
---|---|
Published in |
Frontiers in Molecular Biosciences, November 2020
|
DOI | 10.3389/fmolb.2020.604794 |
Pubmed ID | |
Authors |
Lei Chen, Zhandong Li, Tao Zeng, Yu-Hang Zhang, Dejing Liu, Hao Li, Tao Huang, Yu-Dong Cai |
X Demographics
Geographical breakdown
Country | Count | As % |
---|---|---|
Switzerland | 1 | 50% |
Unknown | 1 | 50% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 1 | 50% |
Scientists | 1 | 50% |
Mendeley readers
The data shown below were compiled from readership statistics for 16 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 16 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Bachelor | 2 | 13% |
Student > Ph. D. Student | 2 | 13% |
Student > Master | 2 | 13% |
Other | 1 | 6% |
Unspecified | 1 | 6% |
Other | 0 | 0% |
Unknown | 8 | 50% |
Readers by discipline | Count | As % |
---|---|---|
Biochemistry, Genetics and Molecular Biology | 3 | 19% |
Computer Science | 2 | 13% |
Agricultural and Biological Sciences | 1 | 6% |
Unspecified | 1 | 6% |
Medicine and Dentistry | 1 | 6% |
Other | 1 | 6% |
Unknown | 7 | 44% |
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 17 December 2020.
All research outputs
#18,764,674
of 23,257,423 outputs
Outputs from Frontiers in Molecular Biosciences
#2,038
of 3,981 outputs
Outputs of similar age
#315,353
of 420,818 outputs
Outputs of similar age from Frontiers in Molecular Biosciences
#83
of 176 outputs
Altmetric has tracked 23,257,423 research outputs across all sources so far. This one is in the 11th percentile – i.e., 11% of other outputs scored the same or lower than it.
So far Altmetric has tracked 3,981 research outputs from this source. They receive a mean Attention Score of 3.3. This one is in the 33rd percentile – i.e., 33% 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 420,818 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 14th percentile – i.e., 14% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 176 others from the same source and published within six weeks on either side of this one. This one is in the 44th percentile – i.e., 44% of its contemporaries scored the same or lower than it.