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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Prediction of metabolites associated with somatic mutations in cancers by using genome-scale metabolic models and mutation data
|
|---|---|
| Published in |
Genome Biology, March 2024
|
| DOI | 10.1186/s13059-024-03208-8 |
| Pubmed ID | |
| Authors |
GaRyoung Lee, Sang Mi Lee, Sungyoung Lee, Chang Wook Jeong, Hyojin Song, Sang Yup Lee, Hongseok Yun, Youngil Koh, Hyun Uk Kim |
X Demographics
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.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 2 | 29% |
| Korea, Republic of | 1 | 14% |
| Malaysia | 1 | 14% |
| Unknown | 3 | 43% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 4 | 57% |
| Scientists | 3 | 43% |
Mendeley readers
The data shown below were compiled from readership statistics for 7 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 7 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 1 | 14% |
| Student > Bachelor | 1 | 14% |
| Professor | 1 | 14% |
| Researcher | 1 | 14% |
| Unknown | 3 | 43% |
| Readers by discipline | Count | As % |
|---|---|---|
| Chemical Engineering | 1 | 14% |
| Biochemistry, Genetics and Molecular Biology | 1 | 14% |
| Agricultural and Biological Sciences | 1 | 14% |
| Unknown | 4 | 57% |
Attention Score in Context
This research output has an Altmetric Attention Score of 70. 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 25 March 2024.
All research outputs
#613,498
of 25,559,053 outputs
Outputs from Genome Biology
#373
of 4,489 outputs
Outputs of similar age
#5,203
of 203,735 outputs
Outputs of similar age from Genome Biology
#1
of 35 outputs
Altmetric has tracked 25,559,053 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 97th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 4,489 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 27.6. This one has done particularly well, scoring higher than 91% 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 203,735 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 97% of its contemporaries.
We're also able to compare this research output to 35 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 99% of its contemporaries.