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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Single-Cell Transcriptomic Analysis of Cardiac Differentiation from Human PSCs Reveals HOPX-Dependent Cardiomyocyte Maturation
|
|---|---|
| Published in |
Cell Stem Cell, October 2018
|
| DOI | 10.1016/j.stem.2018.09.009 |
| Pubmed ID | |
| Authors |
Clayton E. Friedman, Quan Nguyen, Samuel W. Lukowski, Abbigail Helfer, Han Sheng Chiu, Jason Miklas, Shiri Levy, Shengbao Suo, Jing-Dong Jackie Han, Pierre Osteil, Guangdun Peng, Naihe Jing, Greg J. Baillie, Anne Senabouth, Angelika N. Christ, Timothy J. Bruxner, Charles E. Murry, Emily S. Wong, Jun Ding, Yuliang Wang, James Hudson, Hannele Ruohola-Baker, Ziv Bar-Joseph, Patrick P.L. Tam, Joseph E. Powell, Nathan J. Palpant |
X Demographics
The data shown below were collected from the profiles of 54 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Australia | 21 | 39% |
| United States | 7 | 13% |
| Switzerland | 3 | 6% |
| Italy | 2 | 4% |
| Canada | 2 | 4% |
| France | 1 | 2% |
| Germany | 1 | 2% |
| Portugal | 1 | 2% |
| United Kingdom | 1 | 2% |
| Other | 0 | 0% |
| Unknown | 15 | 28% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 32 | 59% |
| Members of the public | 17 | 31% |
| Science communicators (journalists, bloggers, editors) | 3 | 6% |
| Practitioners (doctors, other healthcare professionals) | 2 | 4% |
Mendeley readers
The data shown below were compiled from readership statistics for 344 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 344 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 82 | 24% |
| Researcher | 55 | 16% |
| Student > Master | 31 | 9% |
| Student > Bachelor | 28 | 8% |
| Student > Doctoral Student | 26 | 8% |
| Other | 45 | 13% |
| Unknown | 77 | 22% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 122 | 35% |
| Agricultural and Biological Sciences | 44 | 13% |
| Medicine and Dentistry | 43 | 13% |
| Engineering | 13 | 4% |
| Chemistry | 6 | 2% |
| Other | 30 | 9% |
| Unknown | 86 | 25% |
Attention Score in Context
This research output has an Altmetric Attention Score of 72. 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 2023.
All research outputs
#608,520
of 26,017,215 outputs
Outputs from Cell Stem Cell
#409
of 2,851 outputs
Outputs of similar age
#13,052
of 358,582 outputs
Outputs of similar age from Cell Stem Cell
#11
of 54 outputs
Altmetric has tracked 26,017,215 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 2,851 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 48.9. 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 358,582 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 96% of its contemporaries.
We're also able to compare this research output to 54 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 79% of its contemporaries.