You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output.
Click here to find out more.
X Demographics
Mendeley readers
Attention Score in Context
| Title |
Generating iPSCs: Translating Cell Reprogramming Science into Scalable and Robust Biomanufacturing Strategies
|
|---|---|
| Published in |
Cell Stem Cell, January 2015
|
| DOI | 10.1016/j.stem.2014.12.013 |
| Pubmed ID | |
| Authors |
Marli Silva, Laurence Daheron, Hannah Hurley, Kim Bure, Richard Barker, Andrew J. Carr, David Williams, Hae-Won Kim, Anna French, Pete J. Coffey, Justin J. Cooper-White, Brock Reeve, Mahendra Rao, Evan Y. Snyder, Kelvin S. Ng, Benjamin E. Mead, James A. Smith, Jeffrey M. Karp, David A. Brindley, Ivan Wall |
X Demographics
The data shown below were collected from the profiles of 7 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 | 2 | 29% |
| Australia | 1 | 14% |
| Japan | 1 | 14% |
| Unknown | 3 | 43% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 4 | 57% |
| Scientists | 3 | 43% |
Mendeley readers
The data shown below were compiled from readership statistics for 163 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Colombia | 1 | <1% |
| France | 1 | <1% |
| Italy | 1 | <1% |
| Finland | 1 | <1% |
| United Kingdom | 1 | <1% |
| Singapore | 1 | <1% |
| Mexico | 1 | <1% |
| China | 1 | <1% |
| Spain | 1 | <1% |
| Other | 0 | 0% |
| Unknown | 154 | 94% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 38 | 23% |
| Researcher | 24 | 15% |
| Student > Master | 19 | 12% |
| Student > Bachelor | 16 | 10% |
| Student > Doctoral Student | 10 | 6% |
| Other | 35 | 21% |
| Unknown | 21 | 13% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 43 | 26% |
| Agricultural and Biological Sciences | 41 | 25% |
| Medicine and Dentistry | 15 | 9% |
| Engineering | 14 | 9% |
| Neuroscience | 6 | 4% |
| Other | 20 | 12% |
| Unknown | 24 | 15% |
Attention Score in Context
This research output has an Altmetric Attention Score of 12. 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 22 January 2015.
All research outputs
#3,072,069
of 26,017,215 outputs
Outputs from Cell Stem Cell
#1,543
of 2,851 outputs
Outputs of similar age
#40,293
of 365,327 outputs
Outputs of similar age from Cell Stem Cell
#20
of 39 outputs
Altmetric has tracked 26,017,215 research outputs across all sources so far. Compared to these this one has done well and is in the 87th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 2,851 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 48.9. This one is in the 45th percentile – i.e., 45% of its peers scored the same or lower than it.
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 365,327 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 88% of its contemporaries.
We're also able to compare this research output to 39 others from the same source and published within six weeks on either side of this one. This one is in the 48th percentile – i.e., 48% of its contemporaries scored the same or lower than it.