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X Demographics
Mendeley readers
Attention Score in Context
| Chapter title |
Profiling histone modifications by chromatin immunoprecipitation coupled to deep sequencing in skeletal cells.
|
|---|---|
| Chapter number | 6 |
| Book title |
Osteoporosis and Osteoarthritis
|
| Published in |
Methods in molecular biology, January 2015
|
| DOI | 10.1007/978-1-4939-1619-1_6 |
| Pubmed ID | |
| Book ISBNs |
978-1-4939-1618-4, 978-1-4939-1619-1
|
| Authors |
Mark B Meyer, Nancy A Benkusky, J Wesley Pike, Mark B. Meyer, Nancy A. Benkusky, J. Wesley Pike |
| Abstract |
Chromatin, tightly packaged genomic DNA, is reliant on posttranslational modification of histone N-terminal tails for accessibility of DNA by transcription factors to activate transcription. Each histone modification may denote permissible states for gene activation or repression. As cells undergo differentiation, as they do in the skeleton from multipotential precursors through osteoblasts and into osteocytes, their histone code may be altered to help accommodate these transitions. Here we describe the methodology of chromatin immunoprecipitation (ChIP) coupled to deep sequencing (ChIP-seq) on skeletal cells that have differentiated in cell culture. |
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 % |
|---|---|---|
| France | 1 | 50% |
| Unknown | 1 | 50% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 1 | 50% |
| Members of the public | 1 | 50% |
Mendeley readers
The data shown below were compiled from readership statistics for 7 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 7 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Professor > Associate Professor | 2 | 29% |
| Researcher | 2 | 29% |
| Student > Ph. D. Student | 1 | 14% |
| Lecturer > Senior Lecturer | 1 | 14% |
| Unknown | 1 | 14% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 3 | 43% |
| Agricultural and Biological Sciences | 2 | 29% |
| Unknown | 2 | 29% |
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 22 October 2014.
All research outputs
#18,381,794
of 22,768,097 outputs
Outputs from Methods in molecular biology
#7,871
of 13,090 outputs
Outputs of similar age
#255,650
of 352,895 outputs
Outputs of similar age from Methods in molecular biology
#479
of 996 outputs
Altmetric has tracked 22,768,097 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 13,090 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 352,895 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 16th percentile – i.e., 16% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 996 others from the same source and published within six weeks on either side of this one. This one is in the 36th percentile – i.e., 36% of its contemporaries scored the same or lower than it.