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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Pluripotent stem cells in disease modelling and drug discovery
|
|---|---|
| Published in |
Nature Reviews Molecular Cell Biology, January 2016
|
| DOI | 10.1038/nrm.2015.27 |
| Pubmed ID | |
| Authors |
Yishai Avior, Ido Sagi, Nissim Benvenisty |
| Abstract |
Experimental modelling of human disorders enables the definition of the cellular and molecular mechanisms underlying diseases and the development of therapies for treating them. The availability of human pluripotent stem cells (PSCs), which are capable of self-renewal and have the potential to differentiate into virtually any cell type, can now help to overcome the limitations of animal models for certain disorders. The ability to model human diseases using cultured PSCs has revolutionized the ways in which we study monogenic, complex and epigenetic disorders, as well as early- and late-onset diseases. Several strategies are used to generate such disease models using either embryonic stem cells (ES cells) or patient-specific induced PSCs (iPSCs), creating new possibilities for the establishment of models and their use in drug screening. |
X Demographics
The data shown below were collected from the profiles of 33 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 | 9 | 27% |
| Germany | 2 | 6% |
| United Kingdom | 2 | 6% |
| Spain | 1 | 3% |
| Australia | 1 | 3% |
| Brazil | 1 | 3% |
| Ecuador | 1 | 3% |
| Ireland | 1 | 3% |
| Thailand | 1 | 3% |
| Other | 4 | 12% |
| Unknown | 10 | 30% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 16 | 48% |
| Members of the public | 16 | 48% |
| Science communicators (journalists, bloggers, editors) | 1 | 3% |
Mendeley readers
The data shown below were compiled from readership statistics for 1,204 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 4 | <1% |
| Brazil | 2 | <1% |
| Germany | 2 | <1% |
| Denmark | 2 | <1% |
| Korea, Republic of | 1 | <1% |
| India | 1 | <1% |
| United Kingdom | 1 | <1% |
| Taiwan | 1 | <1% |
| Colombia | 1 | <1% |
| Other | 4 | <1% |
| Unknown | 1185 | 98% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 262 | 22% |
| Researcher | 182 | 15% |
| Student > Bachelor | 174 | 14% |
| Student > Master | 149 | 12% |
| Student > Postgraduate | 62 | 5% |
| Other | 163 | 14% |
| Unknown | 212 | 18% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 350 | 29% |
| Agricultural and Biological Sciences | 269 | 22% |
| Neuroscience | 103 | 9% |
| Medicine and Dentistry | 84 | 7% |
| Engineering | 50 | 4% |
| Other | 113 | 9% |
| Unknown | 235 | 20% |
Attention Score in Context
This research output has an Altmetric Attention Score of 45. 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 26 December 2022.
All research outputs
#943,746
of 25,837,817 outputs
Outputs from Nature Reviews Molecular Cell Biology
#229
of 2,651 outputs
Outputs of similar age
#16,791
of 409,103 outputs
Outputs of similar age from Nature Reviews Molecular Cell Biology
#6
of 42 outputs
Altmetric has tracked 25,837,817 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 96th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 2,651 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 17.4. This one has done particularly well, scoring higher than 91% 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 409,103 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 95% of its contemporaries.
We're also able to compare this research output to 42 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 85% of its contemporaries.