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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Comparison of endometrial regenerative cells and bone marrow stromal cells
|
|---|---|
| Published in |
Journal of Translational Medicine, October 2012
|
| DOI | 10.1186/1479-5876-10-207 |
| Pubmed ID | |
| Authors |
Huan Wang, Ping Jin, Marianna Sabatino, Jiaqiang Ren, Sara Civini, Vladimir Bogin, Thomas E Ichim, David F Stroncek |
| Abstract |
Endometrial regenerative cells (ERC) and bone marrow stromal cells (BMSC) are being used in clinical trials. While they have been reported to have similar characteristics, they have not been directly compared. |
X Demographics
The data shown below were collected from the profiles of 15 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 | 5 | 33% |
| Zimbabwe | 1 | 7% |
| India | 1 | 7% |
| Unknown | 8 | 53% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 15 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 47 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Iran, Islamic Republic of | 1 | 2% |
| Portugal | 1 | 2% |
| Unknown | 45 | 96% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 11 | 23% |
| Researcher | 10 | 21% |
| Student > Master | 5 | 11% |
| Student > Bachelor | 4 | 9% |
| Student > Doctoral Student | 4 | 9% |
| Other | 11 | 23% |
| Unknown | 2 | 4% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 13 | 28% |
| Agricultural and Biological Sciences | 11 | 23% |
| Biochemistry, Genetics and Molecular Biology | 5 | 11% |
| Engineering | 3 | 6% |
| Materials Science | 2 | 4% |
| Other | 6 | 13% |
| Unknown | 7 | 15% |
Attention Score in Context
This research output has an Altmetric Attention Score of 16. 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 27 April 2024.
All research outputs
#2,331,946
of 25,836,587 outputs
Outputs from Journal of Translational Medicine
#413
of 4,723 outputs
Outputs of similar age
#15,704
of 192,616 outputs
Outputs of similar age from Journal of Translational Medicine
#8
of 58 outputs
Altmetric has tracked 25,836,587 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 90th percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 4,723 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 10.6. 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 192,616 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 91% of its contemporaries.
We're also able to compare this research output to 58 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 86% of its contemporaries.