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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Morphology-based deep learning approach for predicting adipogenic and osteogenic differentiation of human mesenchymal stem cells (hMSCs)
|
|---|---|
| Published in |
Frontiers in Cell and Developmental Biology, November 2023
|
| DOI | 10.3389/fcell.2023.1329840 |
| Pubmed ID | |
| Authors |
Maxwell Mai, Shuai Luo, Samantha Fasciano, Timilehin Esther Oluwole, Justin Ortiz, Yulei Pang, Shue Wang |
X Demographics
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 2 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 2 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 16 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 16 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Unspecified | 7 | 44% |
| Student > Doctoral Student | 2 | 13% |
| Lecturer | 1 | 6% |
| Student > Bachelor | 1 | 6% |
| Student > Master | 1 | 6% |
| Other | 1 | 6% |
| Unknown | 3 | 19% |
| Readers by discipline | Count | As % |
|---|---|---|
| Unspecified | 7 | 44% |
| Medicine and Dentistry | 3 | 19% |
| Biochemistry, Genetics and Molecular Biology | 2 | 13% |
| Chemistry | 1 | 6% |
| Unknown | 3 | 19% |
Attention Score in Context
This research output has an Altmetric Attention Score of 2. 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 24 December 2023.
All research outputs
#16,600,214
of 26,170,895 outputs
Outputs from Frontiers in Cell and Developmental Biology
#3,543
of 10,616 outputs
Outputs of similar age
#179,127
of 382,869 outputs
Outputs of similar age from Frontiers in Cell and Developmental Biology
#71
of 275 outputs
Altmetric has tracked 26,170,895 research outputs across all sources so far. This one is in the 34th percentile – i.e., 34% of other outputs scored the same or lower than it.
So far Altmetric has tracked 10,616 research outputs from this source. They receive a mean Attention Score of 4.3. This one has gotten more attention than average, scoring higher than 63% 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 382,869 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 49th percentile – i.e., 49% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 275 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 70% of its contemporaries.