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X Demographics
Mendeley readers
Attention Score in Context
| Chapter title |
Tissue-Specific Transcriptome Profiling in Arabidopsis Roots
|
|---|---|
| Chapter number | 8 |
| Book title |
Plant Genomics
|
| Published in |
Methods in molecular biology, April 2017
|
| DOI | 10.1007/978-1-4939-7003-2_8 |
| Pubmed ID | |
| Book ISBNs |
978-1-4939-7001-8, 978-1-4939-7003-2
|
| Authors |
Sparks, Erin E., Benfey, Philip N., Erin E. Sparks, Philip N. Benfey |
| Editors |
Wolfgang Busch |
| Abstract |
Spatiotemporal transcriptome profiles from specific tissues are critical for understanding plant development and responses to the environment. One approach to isolate specific tissues is fluorescence-activated cell sorting (FACS). In this chapter, we outline methods for the FACS isolation of root protoplasts followed by transcriptome profiling using RNA sequencing. |
X Demographics
The data shown below were collected from the profiles of 8 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 | 25% |
| Brazil | 1 | 13% |
| Canada | 1 | 13% |
| United Kingdom | 1 | 13% |
| Unknown | 3 | 38% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 5 | 63% |
| Scientists | 3 | 38% |
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 % |
|---|---|---|
| Researcher | 2 | 29% |
| Student > Bachelor | 1 | 14% |
| Student > Ph. D. Student | 1 | 14% |
| Professor | 1 | 14% |
| Student > Master | 1 | 14% |
| Other | 1 | 14% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 4 | 57% |
| Biochemistry, Genetics and Molecular Biology | 3 | 43% |
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 02 May 2017.
All research outputs
#6,340,076
of 22,965,074 outputs
Outputs from Methods in molecular biology
#1,894
of 13,137 outputs
Outputs of similar age
#100,703
of 309,748 outputs
Outputs of similar age from Methods in molecular biology
#29
of 264 outputs
Altmetric has tracked 22,965,074 research outputs across all sources so far. This one has received more attention than most of these and is in the 72nd percentile.
So far Altmetric has tracked 13,137 research outputs from this source. They receive a mean Attention Score of 3.4. This one has done well, scoring higher than 85% 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 309,748 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 67% of its contemporaries.
We're also able to compare this research output to 264 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 89% of its contemporaries.