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Mendeley readers
Attention Score in Context
| Chapter title |
Development of ATP-Competitive mTOR Inhibitors.
|
|---|---|
| Chapter number | 29 |
| Book title |
mTOR
|
| Published in |
Methods in molecular biology, September 2011
|
| DOI | 10.1007/978-1-61779-430-8_29 |
| Pubmed ID | |
| Book ISBNs |
978-1-61779-429-2, 978-1-61779-430-8
|
| Authors |
Liu Q, Kang SA, Thoreen CC, Hur W, Wang J, Chang JW, Markhard A, Zhang J, Sim T, Sabatini DM, Gray NS, Qingsong Liu, Seong A. Kang, Carson C. Thoreen, Wooyoung Hur, Jinhua Wang, Jae Won Chang, Andrew Markhard, Jianming Zhang, Taebo Sim, David M. Sabatini, Nathanael S. Gray, Liu, Qingsong, Kang, Seong A., Thoreen, Carson C., Hur, Wooyoung, Wang, Jinhua, Chang, Jae Won, Markhard, Andrew, Zhang, Jianming, Sim, Taebo, Sabatini, David M., Gray, Nathanael S. |
| Editors |
Thomas Weichhart |
Mendeley readers
The data shown below were compiled from readership statistics for 58 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United Kingdom | 1 | 2% |
| Unknown | 57 | 98% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 13 | 22% |
| Researcher | 12 | 21% |
| Student > Bachelor | 7 | 12% |
| Student > Master | 5 | 9% |
| Student > Doctoral Student | 4 | 7% |
| Other | 5 | 9% |
| Unknown | 12 | 21% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 20 | 34% |
| Biochemistry, Genetics and Molecular Biology | 12 | 21% |
| Neuroscience | 3 | 5% |
| Medicine and Dentistry | 3 | 5% |
| Engineering | 2 | 3% |
| Other | 6 | 10% |
| Unknown | 12 | 21% |
Attention Score in Context
This research output has an Altmetric Attention Score of 16. 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 26 December 2020.
All research outputs
#1,940,849
of 22,854,458 outputs
Outputs from Methods in molecular biology
#286
of 13,128 outputs
Outputs of similar age
#9,888
of 132,061 outputs
Outputs of similar age from Methods in molecular biology
#2
of 49 outputs
Altmetric has tracked 22,854,458 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 91st percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 13,128 research outputs from this source. They receive a mean Attention Score of 3.4. This one has done particularly well, scoring higher than 97% 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 132,061 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 92% of its contemporaries.
We're also able to compare this research output to 49 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 95% of its contemporaries.