Title |
Vision for Functionally Decorated and Molecularly Imprinted Polymers in Regenerative Engineering
|
---|---|
Published in |
Regenerative Engineering and Translational Medicine, March 2017
|
DOI | 10.1007/s40883-017-0028-9 |
Pubmed ID | |
Authors |
John R. Clegg, Marissa E. Wechsler, Nicholas A. Peppas |
X Demographics
The data shown below were collected from the profiles of 14 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 | 36% |
United Kingdom | 2 | 14% |
Korea, Republic of | 1 | 7% |
Pakistan | 1 | 7% |
Spain | 1 | 7% |
Netherlands | 1 | 7% |
Greece | 1 | 7% |
Unknown | 2 | 14% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Scientists | 7 | 50% |
Members of the public | 5 | 36% |
Science communicators (journalists, bloggers, editors) | 1 | 7% |
Practitioners (doctors, other healthcare professionals) | 1 | 7% |
Mendeley readers
The data shown below were compiled from readership statistics for 36 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 36 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 6 | 17% |
Researcher | 5 | 14% |
Student > Master | 5 | 14% |
Student > Bachelor | 2 | 6% |
Professor | 2 | 6% |
Other | 5 | 14% |
Unknown | 11 | 31% |
Readers by discipline | Count | As % |
---|---|---|
Engineering | 7 | 19% |
Materials Science | 4 | 11% |
Chemical Engineering | 3 | 8% |
Chemistry | 3 | 8% |
Medicine and Dentistry | 3 | 8% |
Other | 5 | 14% |
Unknown | 11 | 31% |
Attention Score in Context
This research output has an Altmetric Attention Score of 8. 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 15 October 2020.
All research outputs
#4,679,217
of 25,769,258 outputs
Outputs from Regenerative Engineering and Translational Medicine
#13
of 173 outputs
Outputs of similar age
#76,246
of 324,950 outputs
Outputs of similar age from Regenerative Engineering and Translational Medicine
#1
of 1 outputs
Altmetric has tracked 25,769,258 research outputs across all sources so far. Compared to these this one has done well and is in the 81st percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 173 research outputs from this source. They receive a mean Attention Score of 2.2. This one has done particularly well, scoring higher than 92% 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 324,950 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 76% of its contemporaries.
We're also able to compare this research output to 1 others from the same source and published within six weeks on either side of this one. This one has scored higher than all of them