The data shown below were collected from the profiles of 45 X users who shared this research output. Click here to find out more about how the information was compiled.
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Title |
Single-cell transcriptomic analysis of tissue-resident memory T cells in human lung cancer
|
---|---|
Published in |
The Journal of Experimental Medicine, June 2019
|
DOI | 10.1084/jem.20190249 |
Pubmed ID | |
Authors |
James Clarke, Bharat Panwar, Ariel Madrigal, Divya Singh, Ravindra Gujar, Oliver Wood, Serena J. Chee, Simon Eschweiler, Emma V. King, Amiera S. Awad, Christopher J. Hanley, Katy J. McCann, Sourya Bhattacharyya, Edwin Woo, Aiman Alzetani, Grégory Seumois, Gareth J. Thomas, Anusha-Preethi Ganesan, Peter S. Friedmann, Tilman Sanchez-Elsner, Ferhat Ay, Christian H. Ottensmeier, Pandurangan Vijayanand |
X Demographics
Geographical breakdown
Country | Count | As % |
---|---|---|
United States | 7 | 16% |
United Kingdom | 2 | 4% |
Italy | 1 | 2% |
Germany | 1 | 2% |
Japan | 1 | 2% |
Chile | 1 | 2% |
Korea, Republic of | 1 | 2% |
Unknown | 31 | 69% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 27 | 60% |
Scientists | 11 | 24% |
Science communicators (journalists, bloggers, editors) | 5 | 11% |
Practitioners (doctors, other healthcare professionals) | 2 | 4% |
Mendeley readers
The data shown below were compiled from readership statistics for 250 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 250 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 52 | 21% |
Researcher | 46 | 18% |
Student > Master | 20 | 8% |
Student > Bachelor | 20 | 8% |
Other | 11 | 4% |
Other | 30 | 12% |
Unknown | 71 | 28% |
Readers by discipline | Count | As % |
---|---|---|
Immunology and Microbiology | 57 | 23% |
Biochemistry, Genetics and Molecular Biology | 48 | 19% |
Medicine and Dentistry | 28 | 11% |
Agricultural and Biological Sciences | 21 | 8% |
Computer Science | 3 | 1% |
Other | 12 | 5% |
Unknown | 81 | 32% |
Attention Score in Context
This research output has an Altmetric Attention Score of 31. 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 16 September 2020.
All research outputs
#1,322,380
of 25,870,940 outputs
Outputs from The Journal of Experimental Medicine
#777
of 11,664 outputs
Outputs of similar age
#28,141
of 369,745 outputs
Outputs of similar age from The Journal of Experimental Medicine
#21
of 70 outputs
Altmetric has tracked 25,870,940 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 94th percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 11,664 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 13.4. This one has done particularly well, scoring higher than 93% 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 369,745 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 70 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 70% of its contemporaries.