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X Demographics
Mendeley readers
Attention Score in Context
| Title |
TPM, FPKM, or Normalized Counts? A Comparative Study of Quantification Measures for the Analysis of RNA-seq Data from the NCI Patient-Derived Models Repository
|
|---|---|
| Published in |
Journal of Translational Medicine, June 2021
|
| DOI | 10.1186/s12967-021-02936-w |
| Pubmed ID | |
| Authors |
Yingdong Zhao, Ming-Chung Li, Mariam M. Konaté, Li Chen, Biswajit Das, Chris Karlovich, P. Mickey Williams, Yvonne A. Evrard, James H. Doroshow, Lisa M. McShane |
X Demographics
The data shown below were collected from the profiles of 11 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 | 3 | 27% |
| France | 2 | 18% |
| Australia | 2 | 18% |
| Unknown | 4 | 36% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 6 | 55% |
| Scientists | 5 | 45% |
Mendeley readers
The data shown below were compiled from readership statistics for 403 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 403 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 61 | 15% |
| Researcher | 45 | 11% |
| Student > Master | 37 | 9% |
| Student > Bachelor | 30 | 7% |
| Unspecified | 13 | 3% |
| Other | 45 | 11% |
| Unknown | 172 | 43% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 103 | 26% |
| Agricultural and Biological Sciences | 41 | 10% |
| Medicine and Dentistry | 15 | 4% |
| Unspecified | 11 | 3% |
| Neuroscience | 10 | 2% |
| Other | 43 | 11% |
| Unknown | 180 | 45% |
Attention Score in Context
This research output has an Altmetric Attention Score of 17. 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 February 2024.
All research outputs
#2,176,883
of 25,299,129 outputs
Outputs from Journal of Translational Medicine
#383
of 4,608 outputs
Outputs of similar age
#51,997
of 437,319 outputs
Outputs of similar age from Journal of Translational Medicine
#5
of 99 outputs
Altmetric has tracked 25,299,129 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 91st percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 4,608 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 10.9. 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 437,319 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 88% of its contemporaries.
We're also able to compare this research output to 99 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 95% of its contemporaries.