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X Demographics
Mendeley readers
Attention Score in Context
| Title |
yylncT Defines a Class of Divergently Transcribed lncRNAs and Safeguards the T-mediated Mesodermal Commitment of Human PSCs
|
|---|---|
| Published in |
Cell Stem Cell, December 2018
|
| DOI | 10.1016/j.stem.2018.11.005 |
| Pubmed ID | |
| Authors |
Stefan Frank, Gaurav Ahuja, Deniz Bartsch, Nicole Russ, Wenjie Yao, Joseph Chao-Chung Kuo, Jens-Peter Derks, Vijay Suresh Akhade, Yulia Kargapolova, Theodore Georgomanolis, Jan-Erik Messling, Marie Gramm, Lilija Brant, Rizwan Rehimi, Natalia Emilse Vargas, Alina Kuroczik, Tsun-Po Yang, Raja Ghazanfar Ali Sahito, Julia Franzen, Juergen Hescheler, Agapios Sachinidis, Martin Peifer, Alvaro Rada-Iglesias, Meena Kanduri, Ivan G. Costa, Chandrasekhar Kanduri, Argyris Papantonis, Leo Kurian |
X Demographics
The data shown below were collected from the profiles of 39 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 | 11 | 28% |
| Germany | 7 | 18% |
| Sweden | 3 | 8% |
| France | 2 | 5% |
| Qatar | 1 | 3% |
| India | 1 | 3% |
| Israel | 1 | 3% |
| Estonia | 1 | 3% |
| Spain | 1 | 3% |
| Other | 1 | 3% |
| Unknown | 10 | 26% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 21 | 54% |
| Scientists | 14 | 36% |
| Science communicators (journalists, bloggers, editors) | 4 | 10% |
Mendeley readers
The data shown below were compiled from readership statistics for 85 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 85 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 18 | 21% |
| Researcher | 14 | 16% |
| Student > Master | 12 | 14% |
| Student > Doctoral Student | 8 | 9% |
| Professor > Associate Professor | 7 | 8% |
| Other | 13 | 15% |
| Unknown | 13 | 15% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 39 | 46% |
| Agricultural and Biological Sciences | 10 | 12% |
| Medicine and Dentistry | 7 | 8% |
| Computer Science | 3 | 4% |
| Physics and Astronomy | 2 | 2% |
| Other | 9 | 11% |
| Unknown | 15 | 18% |
Attention Score in Context
This research output has an Altmetric Attention Score of 29. 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 19 October 2023.
All research outputs
#1,341,049
of 25,385,509 outputs
Outputs from Cell Stem Cell
#892
of 2,823 outputs
Outputs of similar age
#30,328
of 444,418 outputs
Outputs of similar age from Cell Stem Cell
#23
of 56 outputs
Altmetric has tracked 25,385,509 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 94th percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 2,823 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 48.5. This one has gotten more attention than average, scoring higher than 68% 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 444,418 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 93% of its contemporaries.
We're also able to compare this research output to 56 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 58% of its contemporaries.