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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Molecular and pharmacological modulators of the tumor immune contexture revealed by deconvolution of RNA-seq data
|
|---|---|
| Published in |
Genome Medicine, May 2019
|
| DOI | 10.1186/s13073-019-0638-6 |
| Pubmed ID | |
| Authors |
Francesca Finotello, Clemens Mayer, Christina Plattner, Gerhard Laschober, Dietmar Rieder, Hubert Hackl, Anne Krogsdam, Zuzana Loncova, Wilfried Posch, Doris Wilflingseder, Sieghart Sopper, Marieke Ijsselsteijn, Thomas P. Brouwer, Douglas Johnson, Yaomin Xu, Yu Wang, Melinda E. Sanders, Monica V. Estrada, Paula Ericsson-Gonzalez, Pornpimol Charoentong, Justin Balko, Noel Filipe da Cunha Carvalho de Miranda, Zlatko Trajanoski |
X Demographics
The data shown below were collected from the profiles of 22 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Germany | 3 | 14% |
| United Kingdom | 2 | 9% |
| France | 2 | 9% |
| Norway | 1 | 5% |
| Comoros | 1 | 5% |
| Spain | 1 | 5% |
| Switzerland | 1 | 5% |
| Denmark | 1 | 5% |
| Netherlands | 1 | 5% |
| Other | 1 | 5% |
| Unknown | 8 | 36% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 14 | 64% |
| Members of the public | 7 | 32% |
| Practitioners (doctors, other healthcare professionals) | 1 | 5% |
Mendeley readers
The data shown below were compiled from readership statistics for 297 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 297 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 61 | 21% |
| Student > Ph. D. Student | 50 | 17% |
| Student > Master | 33 | 11% |
| Student > Bachelor | 20 | 7% |
| Other | 16 | 5% |
| Other | 37 | 12% |
| Unknown | 80 | 27% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 90 | 30% |
| Medicine and Dentistry | 32 | 11% |
| Agricultural and Biological Sciences | 22 | 7% |
| Immunology and Microbiology | 17 | 6% |
| Computer Science | 12 | 4% |
| Other | 27 | 9% |
| Unknown | 97 | 33% |
Attention Score in Context
This research output has an Altmetric Attention Score of 22. 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 01 June 2023.
All research outputs
#1,605,315
of 24,350,163 outputs
Outputs from Genome Medicine
#354
of 1,502 outputs
Outputs of similar age
#35,500
of 353,808 outputs
Outputs of similar age from Genome Medicine
#6
of 22 outputs
Altmetric has tracked 24,350,163 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 93rd percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,502 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 26.7. This one has done well, scoring higher than 76% 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 353,808 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 89% of its contemporaries.
We're also able to compare this research output to 22 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 77% of its contemporaries.