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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Artificial extracellular matrix scaffolds of mobile molecules enhance maturation of human stem cell-derived neurons
|
|---|---|
| Published in |
Cell Stem Cell, January 2023
|
| DOI | 10.1016/j.stem.2022.12.010 |
| Pubmed ID | |
| Authors |
Zaida Álvarez, J Alberto Ortega, Kohei Sato, Ivan R Sasselli, Alexandra N Kolberg-Edelbrock, Ruomeng Qiu, Kelly A Marshall, Thao Phuong Nguyen, Cara S Smith, Katharina A Quinlan, Vasileios Papakis, Zois Syrgiannis, Nicholas A Sather, Chiara Musumeci, Elisabeth Engel, Samuel I Stupp, Evangelos Kiskinis |
X Demographics
The data shown below were collected from the profiles of 59 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 | 11 | 19% |
| Spain | 9 | 15% |
| Japan | 2 | 3% |
| India | 2 | 3% |
| Korea, Democratic People's Republic of | 1 | 2% |
| Chile | 1 | 2% |
| Austria | 1 | 2% |
| Mexico | 1 | 2% |
| Australia | 1 | 2% |
| Other | 2 | 3% |
| Unknown | 28 | 47% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 43 | 73% |
| Scientists | 10 | 17% |
| Science communicators (journalists, bloggers, editors) | 3 | 5% |
| Practitioners (doctors, other healthcare professionals) | 3 | 5% |
Mendeley readers
The data shown below were compiled from readership statistics for 79 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 79 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 19 | 24% |
| Student > Bachelor | 10 | 13% |
| Researcher | 6 | 8% |
| Student > Master | 6 | 8% |
| Student > Doctoral Student | 3 | 4% |
| Other | 11 | 14% |
| Unknown | 24 | 30% |
| Readers by discipline | Count | As % |
|---|---|---|
| Neuroscience | 17 | 22% |
| Biochemistry, Genetics and Molecular Biology | 8 | 10% |
| Materials Science | 6 | 8% |
| Unspecified | 3 | 4% |
| Chemistry | 3 | 4% |
| Other | 14 | 18% |
| Unknown | 28 | 35% |
Attention Score in Context
This research output has an Altmetric Attention Score of 387. 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 06 November 2023.
All research outputs
#79,484
of 25,443,857 outputs
Outputs from Cell Stem Cell
#47
of 2,823 outputs
Outputs of similar age
#2,079
of 475,969 outputs
Outputs of similar age from Cell Stem Cell
#4
of 38 outputs
Altmetric has tracked 25,443,857 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 2,823 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 48.6. This one has done particularly well, scoring higher than 98% 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 475,969 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 38 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 92% of its contemporaries.