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X Demographics
Mendeley readers
Attention Score in Context
| Chapter title |
Phenotypic Analysis of Bioactive Cells for Application in Regenerative Medicine
|
|---|---|
| Chapter number | 10 |
| Book title |
Organ Regeneration
|
| Published in |
Methods in molecular biology, January 2013
|
| DOI | 10.1007/978-1-62703-363-3_10 |
| Pubmed ID | |
| Book ISBNs |
978-1-62703-362-6, 978-1-62703-363-3
|
| Authors |
Teresa Bora Burnette, Andrew T. Bruce |
| Abstract |
The following chapter outlines methodologies to phenotypically characterize primary cells for the use in tissue-engineered and regenerative medicine applications. Methods covered include analyzing cells using immunocytochemistry, fluorescence-activated cell sorting, and confocal microscopy of adherent and suspended cells, as well as combinations of formulated cell-biomaterial constructs. |
X Demographics
The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United Kingdom | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 6 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 6 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Bachelor | 3 | 50% |
| Student > Ph. D. Student | 1 | 17% |
| Other | 1 | 17% |
| Unknown | 1 | 17% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 2 | 33% |
| Biochemistry, Genetics and Molecular Biology | 1 | 17% |
| Agricultural and Biological Sciences | 1 | 17% |
| Engineering | 1 | 17% |
| Unknown | 1 | 17% |
Attention Score in Context
This research output has an Altmetric Attention Score of 1. 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 05 April 2013.
All research outputs
#18,333,600
of 22,703,044 outputs
Outputs from Methods in molecular biology
#7,847
of 13,076 outputs
Outputs of similar age
#218,001
of 280,707 outputs
Outputs of similar age from Methods in molecular biology
#220
of 340 outputs
Altmetric has tracked 22,703,044 research outputs across all sources so far. This one is in the 11th percentile – i.e., 11% of other outputs scored the same or lower than it.
So far Altmetric has tracked 13,076 research outputs from this source. They receive a mean Attention Score of 3.3. This one is in the 24th percentile – i.e., 24% 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 280,707 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 11th percentile – i.e., 11% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 340 others from the same source and published within six weeks on either side of this one. This one is in the 12th percentile – i.e., 12% of its contemporaries scored the same or lower than it.