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Mendeley readers
Attention Score in Context
| Chapter title |
Dynamic visualization of cellular signaling.
|
|---|---|
| Chapter number | 48 |
| Book title |
Nano/Micro Biotechnology
|
| Published in |
ADS, February 2016
|
| DOI | 10.1007/10_2008_48 |
| Pubmed ID | |
| Book ISBNs |
978-3-64-214946-7, 978-3-64-214947-4
|
| Authors |
Qiang Ni, Jin Zhang, Ni, Qiang, Zhang, Jin |
| Abstract |
Our understanding of cellular signaling is critically dependent on our ability to visualize and quantify specific signaling events with high spatial and temporal resolution in the cellular context. Over the past decade or so, biosensors based on fluorescent proteins and fluorescence resonance energy transfer (FRET) have emerged as one major class of fluorescent probes that are capable of tracking a variety of cellular signaling events, such as second messenger dynamics and enzyme activation/activity, in time and space. Here we review recent advances in the development of such biosensors and some biological insights revealed by these biosensors in living cells, tissue, and organisms. |
Mendeley readers
The data shown below were compiled from readership statistics for 26 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Spain | 1 | 4% |
| Poland | 1 | 4% |
| Germany | 1 | 4% |
| Unknown | 23 | 88% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 6 | 23% |
| Student > Ph. D. Student | 6 | 23% |
| Researcher | 3 | 12% |
| Student > Bachelor | 2 | 8% |
| Professor > Associate Professor | 2 | 8% |
| Other | 2 | 8% |
| Unknown | 5 | 19% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 6 | 23% |
| Chemistry | 4 | 15% |
| Physics and Astronomy | 3 | 12% |
| Biochemistry, Genetics and Molecular Biology | 2 | 8% |
| Computer Science | 1 | 4% |
| Other | 5 | 19% |
| Unknown | 5 | 19% |
Attention Score in Context
This research output has an Altmetric Attention Score of 3. 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 24 August 2019.
All research outputs
#7,453,126
of 22,785,242 outputs
Outputs from ADS
#9,283
of 37,325 outputs
Outputs of similar age
#125,761
of 396,799 outputs
Outputs of similar age from ADS
#197
of 640 outputs
Altmetric has tracked 22,785,242 research outputs across all sources so far. This one is in the 44th percentile – i.e., 44% of other outputs scored the same or lower than it.
So far Altmetric has tracked 37,325 research outputs from this source. They receive a mean Attention Score of 4.6. This one is in the 29th percentile – i.e., 29% 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 396,799 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 56% of its contemporaries.
We're also able to compare this research output to 640 others from the same source and published within six weeks on either side of this one. This one is in the 43rd percentile – i.e., 43% of its contemporaries scored the same or lower than it.