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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Mechano‐Activated Cell Therapy for Accelerated Diabetic Wound Healing
|
|---|---|
| Published in |
Advanced Materials, October 2023
|
| DOI | 10.1002/adma.202304638 |
| Pubmed ID | |
| Authors |
Yufeng Shou, Zhicheng Le, Hong Sheng Cheng, Qimin Liu, Yi Zhen Ng, David Laurence Becker, Xianlei Li, Ling Liu, Chencheng Xue, Natalie Jia Ying Yeo, Runcheng Tan, Jessalyn Low, Arun R.K. Kumar, Kenny Zhuoran Wu, Hua Li, Christine Cheung, Chwee Teck Lim, Nguan Soon Tan, Yongming Chen, Zhijia Liu, Andy Tay |
X Demographics
The data shown below were collected from the profiles of 51 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Iran, Islamic Republic of | 6 | 12% |
| United States | 4 | 8% |
| Japan | 2 | 4% |
| Georgia | 2 | 4% |
| Netherlands | 1 | 2% |
| Italy | 1 | 2% |
| Morocco | 1 | 2% |
| India | 1 | 2% |
| Mexico | 1 | 2% |
| Other | 3 | 6% |
| Unknown | 29 | 57% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 42 | 82% |
| Scientists | 6 | 12% |
| Practitioners (doctors, other healthcare professionals) | 2 | 4% |
| Science communicators (journalists, bloggers, editors) | 1 | 2% |
Mendeley readers
The data shown below were compiled from readership statistics for 22 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 22 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 5 | 23% |
| Unspecified | 3 | 14% |
| Student > Master | 3 | 14% |
| Unknown | 11 | 50% |
| Readers by discipline | Count | As % |
|---|---|---|
| Unspecified | 3 | 14% |
| Chemistry | 2 | 9% |
| Chemical Engineering | 1 | 5% |
| Medicine and Dentistry | 1 | 5% |
| Agricultural and Biological Sciences | 1 | 5% |
| Other | 2 | 9% |
| Unknown | 12 | 55% |
Attention Score in Context
This research output has an Altmetric Attention Score of 950. 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 20 November 2023.
All research outputs
#17,876
of 25,768,270 outputs
Outputs from Advanced Materials
#3
of 18,350 outputs
Outputs of similar age
#392
of 363,094 outputs
Outputs of similar age from Advanced Materials
#1
of 800 outputs
Altmetric has tracked 25,768,270 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 18,350 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 10.9. This one has done particularly well, scoring higher than 99% 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 363,094 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 800 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 99% of its contemporaries.