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Mendeley readers
Attention Score in Context
| Title |
Stem cell metabolic and spectroscopic profiling
|
|---|---|
| Published in |
Trends in Biotechnology, February 2013
|
| DOI | 10.1016/j.tibtech.2013.01.008 |
| Pubmed ID | |
| Authors |
Paul Ramm Sander, Peter Hau, Steffen Koch, Karin Schütze, Ulrich Bogdahn, Hans Robert Kalbitzer, Ludwig Aigner |
| Abstract |
Stem cells offer great potential for regenerative medicine because they regenerate damaged tissue by cell replacement and/or by stimulating endogenous repair mechanisms. Although stem cells are defined by their functional properties, such as the potential to proliferate, to self-renew, and to differentiate into specific cell types, their identification based on the expression of specific markers remains vague. Here, profiles of stem cell metabolism might highlight stem cell function more than the expression of single genes/markers. Thus, systematic approaches including spectroscopy might yield insight into stem cell function, identity, and stemness. We review the findings gained by means of metabolic and spectroscopic profiling methodologies, for example, nuclear magnetic resonance spectroscopy (NMRS), mass spectrometry (MS), and Raman spectroscopy (RS), with a focus on neural stem cells and neurogenesis. |
X Demographics
The data shown below were collected from the profiles of 2 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 | 1 | 50% |
| Mexico | 1 | 50% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Science communicators (journalists, bloggers, editors) | 1 | 50% |
| Members of the public | 1 | 50% |
Mendeley readers
The data shown below were compiled from readership statistics for 152 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Portugal | 2 | 1% |
| Germany | 1 | <1% |
| France | 1 | <1% |
| Ireland | 1 | <1% |
| Italy | 1 | <1% |
| Czechia | 1 | <1% |
| China | 1 | <1% |
| Japan | 1 | <1% |
| United States | 1 | <1% |
| Other | 0 | 0% |
| Unknown | 142 | 93% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 42 | 28% |
| Student > Ph. D. Student | 32 | 21% |
| Professor | 16 | 11% |
| Professor > Associate Professor | 13 | 9% |
| Student > Master | 11 | 7% |
| Other | 19 | 13% |
| Unknown | 19 | 13% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 51 | 34% |
| Chemistry | 19 | 13% |
| Biochemistry, Genetics and Molecular Biology | 16 | 11% |
| Medicine and Dentistry | 14 | 9% |
| Engineering | 9 | 6% |
| Other | 19 | 13% |
| Unknown | 24 | 16% |
Attention Score in Context
This research output has an Altmetric Attention Score of 5. 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 03 April 2019.
All research outputs
#7,148,903
of 25,374,647 outputs
Outputs from Trends in Biotechnology
#1,576
of 2,856 outputs
Outputs of similar age
#71,464
of 291,540 outputs
Outputs of similar age from Trends in Biotechnology
#17
of 31 outputs
Altmetric has tracked 25,374,647 research outputs across all sources so far. This one has received more attention than most of these and is in the 71st percentile.
So far Altmetric has tracked 2,856 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 9.5. This one is in the 44th percentile – i.e., 44% 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 291,540 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 75% of its contemporaries.
We're also able to compare this research output to 31 others from the same source and published within six weeks on either side of this one. This one is in the 45th percentile – i.e., 45% of its contemporaries scored the same or lower than it.