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X Demographics
Mendeley readers
Attention Score in Context
| Title |
mTOR pathway gene mutations predict response to immune checkpoint inhibitors in multiple cancers
|
|---|---|
| Published in |
Journal of Translational Medicine, May 2022
|
| DOI | 10.1186/s12967-022-03436-1 |
| Pubmed ID | |
| Authors |
Lei Cheng, Yanan Wang, Lixin Qiu, Yuanyuan Chang, Haijiao Lu, Chenchen Liu, Bo Zhang, Yan Zhou, Hao Bai, Liwen Xiong, Hua Zhong, Wei Nie, Baohui Han |
X Demographics
The data shown below were collected from the profiles of 4 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| India | 1 | 25% |
| Unknown | 3 | 75% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 3 | 75% |
| Scientists | 1 | 25% |
Mendeley readers
The data shown below were compiled from readership statistics for 8 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 8 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Unspecified | 1 | 13% |
| Lecturer > Senior Lecturer | 1 | 13% |
| Student > Bachelor | 1 | 13% |
| Student > Ph. D. Student | 1 | 13% |
| Student > Master | 1 | 13% |
| Other | 1 | 13% |
| Unknown | 2 | 25% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 2 | 25% |
| Unspecified | 1 | 13% |
| Medicine and Dentistry | 1 | 13% |
| Unknown | 4 | 50% |
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 21 August 2022.
All research outputs
#14,235,719
of 24,302,917 outputs
Outputs from Journal of Translational Medicine
#1,679
of 4,335 outputs
Outputs of similar age
#184,881
of 431,884 outputs
Outputs of similar age from Journal of Translational Medicine
#27
of 108 outputs
Altmetric has tracked 24,302,917 research outputs across all sources so far. This one is in the 40th percentile – i.e., 40% of other outputs scored the same or lower than it.
So far Altmetric has tracked 4,335 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 11.0. This one has gotten more attention than average, scoring higher than 59% 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 431,884 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 108 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 72% of its contemporaries.