The data shown below were collected from the profiles of 7 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 |
Data-Driven Modeling for Species-Level Taxonomic Assignment From 16S rRNA: Application to Human Microbiomes
|
---|---|
Published in |
Frontiers in Microbiology, November 2020
|
DOI | 10.3389/fmicb.2020.570825 |
Pubmed ID | |
Authors |
Ho-Jin Gwak, Mina Rho |
X Demographics
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 7 | 100% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Scientists | 4 | 57% |
Members of the public | 3 | 43% |
Mendeley readers
The data shown below were compiled from readership statistics for 36 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 36 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 7 | 19% |
Researcher | 7 | 19% |
Student > Master | 5 | 14% |
Student > Bachelor | 4 | 11% |
Unspecified | 1 | 3% |
Other | 2 | 6% |
Unknown | 10 | 28% |
Readers by discipline | Count | As % |
---|---|---|
Biochemistry, Genetics and Molecular Biology | 8 | 22% |
Agricultural and Biological Sciences | 6 | 17% |
Immunology and Microbiology | 3 | 8% |
Environmental Science | 1 | 3% |
Business, Management and Accounting | 1 | 3% |
Other | 5 | 14% |
Unknown | 12 | 33% |
Attention Score in Context
This research output has an Altmetric Attention Score of 3. 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 December 2020.
All research outputs
#14,903,760
of 26,173,059 outputs
Outputs from Frontiers in Microbiology
#10,092
of 30,118 outputs
Outputs of similar age
#205,963
of 438,582 outputs
Outputs of similar age from Frontiers in Microbiology
#308
of 925 outputs
Altmetric has tracked 26,173,059 research outputs across all sources so far. This one is in the 42nd percentile – i.e., 42% of other outputs scored the same or lower than it.
So far Altmetric has tracked 30,118 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.4. This one has gotten more attention than average, scoring higher than 65% 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 438,582 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 52% of its contemporaries.
We're also able to compare this research output to 925 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 65% of its contemporaries.