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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Direct cell reprogramming for tissue engineering and regenerative medicine
|
|---|---|
| Published in |
Journal of Biological Engineering, February 2019
|
| DOI | 10.1186/s13036-019-0144-9 |
| Pubmed ID | |
| Authors |
Alexander Grath, Guohao Dai |
X Demographics
The data shown below were collected from the profiles of 3 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 Kingdom | 2 | 67% |
| Venezuela, Bolivarian Republic of | 1 | 33% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 2 | 67% |
| Practitioners (doctors, other healthcare professionals) | 1 | 33% |
Mendeley readers
The data shown below were compiled from readership statistics for 219 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 219 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Bachelor | 36 | 16% |
| Student > Ph. D. Student | 35 | 16% |
| Researcher | 30 | 14% |
| Student > Master | 16 | 7% |
| Other | 13 | 6% |
| Other | 20 | 9% |
| Unknown | 69 | 32% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 63 | 29% |
| Medicine and Dentistry | 18 | 8% |
| Agricultural and Biological Sciences | 17 | 8% |
| Neuroscience | 16 | 7% |
| Engineering | 10 | 5% |
| Other | 21 | 10% |
| Unknown | 74 | 34% |
Attention Score in Context
This research output has an Altmetric Attention Score of 24. 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 09 October 2023.
All research outputs
#1,571,269
of 25,402,889 outputs
Outputs from Journal of Biological Engineering
#22
of 309 outputs
Outputs of similar age
#38,819
of 458,056 outputs
Outputs of similar age from Journal of Biological Engineering
#2
of 12 outputs
Altmetric has tracked 25,402,889 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 93rd percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 309 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 7.5. This one has done particularly well, scoring higher than 93% 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 458,056 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 12 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.