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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Analysis of changes in microbiome compositions related to the prognosis of colorectal cancer patients based on tissue-derived 16S rRNA sequences
|
|---|---|
| Published in |
Journal of Translational Medicine, November 2021
|
| DOI | 10.1186/s12967-021-03154-0 |
| Pubmed ID | |
| Authors |
Sukjung Choi, Jongsuk Chung, Mi-La Cho, Donghyun Park, Sun Shim Choi |
X Demographics
The data shown below were collected from the profiles of 3 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 3 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 3 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 33 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 33 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 4 | 12% |
| Other | 3 | 9% |
| Student > Postgraduate | 3 | 9% |
| Professor > Associate Professor | 3 | 9% |
| Student > Master | 3 | 9% |
| Other | 8 | 24% |
| Unknown | 9 | 27% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 6 | 18% |
| Medicine and Dentistry | 4 | 12% |
| Unspecified | 2 | 6% |
| Immunology and Microbiology | 2 | 6% |
| Engineering | 2 | 6% |
| Other | 2 | 6% |
| Unknown | 15 | 45% |
Attention Score in Context
This research output has an Altmetric Attention Score of 8. 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 01 December 2021.
All research outputs
#4,030,185
of 23,310,485 outputs
Outputs from Journal of Translational Medicine
#652
of 4,114 outputs
Outputs of similar age
#94,318
of 510,270 outputs
Outputs of similar age from Journal of Translational Medicine
#15
of 83 outputs
Altmetric has tracked 23,310,485 research outputs across all sources so far. Compared to these this one has done well and is in the 82nd percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 4,114 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 10.6. This one has done well, scoring higher than 84% 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 510,270 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 81% of its contemporaries.
We're also able to compare this research output to 83 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 80% of its contemporaries.