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X Demographics
Mendeley readers
Attention Score in Context
Title |
A Systems-level Characterization of the Differentiation of Human Embryonic Stem Cells into Mesenchymal Stem Cells*[S]
|
---|---|
Published in |
Molecular and Cellular Proteomics, July 2019
|
DOI | 10.1074/mcp.ra119.001356 |
Pubmed ID | |
Authors |
Anja M Billing, Shaima S Dib, Aditya M Bhagwat, Israel T da Silva, Rodrigo D Drummond, Shahina Hayat, Rasha Al-Mismar, Hisham Ben-Hamidane, Neha Goswami, Kasper Engholm-Keller, Martin R Larsen, Karsten Suhre, Arash Rafii, Johannes Graumann |
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 % |
---|---|---|
France | 1 | 9% |
Australia | 1 | 9% |
Qatar | 1 | 9% |
United States | 1 | 9% |
Unknown | 7 | 64% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Scientists | 4 | 36% |
Members of the public | 4 | 36% |
Science communicators (journalists, bloggers, editors) | 3 | 27% |
Mendeley readers
The data shown below were compiled from readership statistics for 43 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 43 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Researcher | 9 | 21% |
Student > Master | 7 | 16% |
Student > Bachelor | 3 | 7% |
Student > Ph. D. Student | 3 | 7% |
Student > Doctoral Student | 2 | 5% |
Other | 7 | 16% |
Unknown | 12 | 28% |
Readers by discipline | Count | As % |
---|---|---|
Biochemistry, Genetics and Molecular Biology | 17 | 40% |
Agricultural and Biological Sciences | 5 | 12% |
Medicine and Dentistry | 4 | 9% |
Sports and Recreations | 1 | 2% |
Immunology and Microbiology | 1 | 2% |
Other | 2 | 5% |
Unknown | 13 | 30% |
Attention Score in Context
This research output has an Altmetric Attention Score of 13. 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 January 2021.
All research outputs
#2,818,534
of 25,420,980 outputs
Outputs from Molecular and Cellular Proteomics
#468
of 3,223 outputs
Outputs of similar age
#57,037
of 358,826 outputs
Outputs of similar age from Molecular and Cellular Proteomics
#21
of 60 outputs
Altmetric has tracked 25,420,980 research outputs across all sources so far. Compared to these this one has done well and is in the 88th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 3,223 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 7.6. This one has done well, scoring higher than 85% 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 358,826 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 84% of its contemporaries.
We're also able to compare this research output to 60 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.