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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Predicting response to pembrolizumab in metastatic melanoma by a new personalization algorithm
|
|---|---|
| Published in |
Journal of Translational Medicine, October 2019
|
| DOI | 10.1186/s12967-019-2081-2 |
| Pubmed ID | |
| Authors |
Neta Tsur, Yuri Kogan, Evgenia Avizov-Khodak, Désirée Vaeth, Nils Vogler, Jochen Utikal, Michal Lotem, Zvia Agur |
X Demographics
The data shown below were collected from the profiles of 3 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Australia | 1 | 33% |
| United States | 1 | 33% |
| Unknown | 1 | 33% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 2 | 67% |
| Science communicators (journalists, bloggers, editors) | 1 | 33% |
Mendeley readers
The data shown below were compiled from readership statistics for 35 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 35 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Bachelor | 7 | 20% |
| Researcher | 7 | 20% |
| Student > Ph. D. Student | 5 | 14% |
| Student > Master | 3 | 9% |
| Professor > Associate Professor | 2 | 6% |
| Other | 2 | 6% |
| Unknown | 9 | 26% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 11 | 31% |
| Medicine and Dentistry | 4 | 11% |
| Computer Science | 2 | 6% |
| Engineering | 2 | 6% |
| Mathematics | 1 | 3% |
| Other | 4 | 11% |
| Unknown | 11 | 31% |
Attention Score in Context
This research output has an Altmetric Attention Score of 2. 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 14 October 2019.
All research outputs
#15,054,963
of 23,166,665 outputs
Outputs from Journal of Translational Medicine
#2,015
of 4,071 outputs
Outputs of similar age
#205,668
of 351,741 outputs
Outputs of similar age from Journal of Translational Medicine
#33
of 62 outputs
Altmetric has tracked 23,166,665 research outputs across all sources so far. This one is in the 32nd percentile – i.e., 32% of other outputs scored the same or lower than it.
So far Altmetric has tracked 4,071 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 10.6. This one is in the 44th percentile – i.e., 44% 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 351,741 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 38th percentile – i.e., 38% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 62 others from the same source and published within six weeks on either side of this one. This one is in the 40th percentile – i.e., 40% of its contemporaries scored the same or lower than it.