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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Identification of the Human Skeletal Stem Cell
|
|---|---|
| Published in |
Cell, September 2018
|
| DOI | 10.1016/j.cell.2018.07.029 |
| Pubmed ID | |
| Authors |
Charles K.F. Chan, Gunsagar S. Gulati, Rahul Sinha, Justin Vincent Tompkins, Michael Lopez, Ava C. Carter, Ryan C. Ransom, Andreas Reinisch, Taylor Wearda, Matthew Murphy, Rachel E. Brewer, Lauren S. Koepke, Owen Marecic, Anoop Manjunath, Eun Young Seo, Tripp Leavitt, Wan-Jin Lu, Allison Nguyen, Stephanie D. Conley, Ankit Salhotra, Thomas H. Ambrosi, Mimi R. Borrelli, Taylor Siebel, Karen Chan, Katharina Schallmoser, Jun Seita, Debashis Sahoo, Henry Goodnough, Julius Bishop, Michael Gardner, Ravindra Majeti, Derrick C. Wan, Stuart Goodman, Irving L. Weissman, Howard Y. Chang, Michael T. Longaker |
X Demographics
The data shown below were collected from the profiles of 199 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 | 49 | 25% |
| United Kingdom | 12 | 6% |
| Spain | 9 | 5% |
| Germany | 8 | 4% |
| Canada | 6 | 3% |
| France | 5 | 3% |
| Japan | 4 | 2% |
| Netherlands | 3 | 2% |
| Serbia | 3 | 2% |
| Other | 23 | 12% |
| Unknown | 77 | 39% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 115 | 58% |
| Scientists | 70 | 35% |
| Practitioners (doctors, other healthcare professionals) | 7 | 4% |
| Science communicators (journalists, bloggers, editors) | 7 | 4% |
Mendeley readers
The data shown below were compiled from readership statistics for 638 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 638 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 138 | 22% |
| Researcher | 100 | 16% |
| Student > Bachelor | 54 | 8% |
| Student > Master | 49 | 8% |
| Other | 40 | 6% |
| Other | 98 | 15% |
| Unknown | 159 | 25% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 179 | 28% |
| Medicine and Dentistry | 101 | 16% |
| Agricultural and Biological Sciences | 76 | 12% |
| Engineering | 27 | 4% |
| Immunology and Microbiology | 15 | 2% |
| Other | 49 | 8% |
| Unknown | 191 | 30% |
Attention Score in Context
This research output has an Altmetric Attention Score of 418. 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 04 April 2024.
All research outputs
#70,916
of 25,732,188 outputs
Outputs from Cell
#454
of 17,267 outputs
Outputs of similar age
#1,372
of 346,688 outputs
Outputs of similar age from Cell
#15
of 180 outputs
Altmetric has tracked 25,732,188 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 99th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 17,267 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 59.6. This one has done particularly well, scoring higher than 97% 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 346,688 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 99% of its contemporaries.
We're also able to compare this research output to 180 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 91% of its contemporaries.