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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Cancer associated macrophage-like cells and prognosis of esophageal cancer after chemoradiation therapy
|
|---|---|
| Published in |
Journal of Translational Medicine, November 2020
|
| DOI | 10.1186/s12967-020-02563-x |
| Pubmed ID | |
| Authors |
Daniel J. Gironda, Daniel L. Adams, Jianzhong He, Ting Xu, Hui Gao, Yawei Qiao, Ritsuko Komaki, James M. Reuben, Zhongxing Liao, Mariela Blum-Murphy, Wayne L. Hofstetter, Cha-Mei Tang, Steven H. Lin |
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 % |
|---|---|---|
| Unknown | 3 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 1 | 33% |
| Practitioners (doctors, other healthcare professionals) | 1 | 33% |
| Scientists | 1 | 33% |
Mendeley readers
The data shown below were compiled from readership statistics for 14 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 14 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 2 | 14% |
| Student > Ph. D. Student | 2 | 14% |
| Student > Doctoral Student | 2 | 14% |
| Librarian | 1 | 7% |
| Lecturer | 1 | 7% |
| Other | 1 | 7% |
| Unknown | 5 | 36% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 3 | 21% |
| Agricultural and Biological Sciences | 1 | 7% |
| Biochemistry, Genetics and Molecular Biology | 1 | 7% |
| Physics and Astronomy | 1 | 7% |
| Engineering | 1 | 7% |
| Other | 0 | 0% |
| Unknown | 7 | 50% |
Attention Score in Context
This research output has an Altmetric Attention Score of 73. 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 11 December 2020.
All research outputs
#509,288
of 23,257,423 outputs
Outputs from Journal of Translational Medicine
#99
of 4,096 outputs
Outputs of similar age
#15,221
of 420,818 outputs
Outputs of similar age from Journal of Translational Medicine
#8
of 100 outputs
Altmetric has tracked 23,257,423 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 97th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 4,096 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 10.6. 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 420,818 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 96% of its contemporaries.
We're also able to compare this research output to 100 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 92% of its contemporaries.