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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Glioblastoma-instructed microglia transition to heterogeneous phenotypic states with phagocytic and dendritic cell-like features in patient tumors and patient-derived orthotopic xenografts
|
|---|---|
| Published in |
Genome Medicine, April 2024
|
| DOI | 10.1186/s13073-024-01321-8 |
| Pubmed ID | |
| Authors |
Yahaya A. Yabo, Pilar M. Moreno-Sanchez, Yolanda Pires-Afonso, Tony Kaoma, Bakhtiyor Nosirov, Andrea Scafidi, Luca Ermini, Anuja Lipsa, Anaïs Oudin, Dimitrios Kyriakis, Kamil Grzyb, Suresh K. Poovathingal, Aurélie Poli, Arnaud Muller, Reka Toth, Barbara Klink, Guy Berchem, Christophe Berthold, Frank Hertel, Michel Mittelbronn, Dieter H. Heiland, Alexander Skupin, Petr V. Nazarov, Simone P. Niclou, Alessandro Michelucci, Anna Golebiewska |
X Demographics
The data shown below were collected from the profiles of 30 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Luxembourg | 5 | 17% |
| France | 3 | 10% |
| Germany | 3 | 10% |
| Italy | 1 | 3% |
| United States | 1 | 3% |
| Spain | 1 | 3% |
| United Kingdom | 1 | 3% |
| Colombia | 1 | 3% |
| Australia | 1 | 3% |
| Other | 0 | 0% |
| Unknown | 13 | 43% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 18 | 60% |
| Scientists | 12 | 40% |
Mendeley readers
The data shown below were compiled from readership statistics for 26 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 26 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 5 | 19% |
| Student > Bachelor | 3 | 12% |
| Student > Master | 3 | 12% |
| Researcher | 2 | 8% |
| Professor > Associate Professor | 2 | 8% |
| Other | 4 | 15% |
| Unknown | 7 | 27% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 7 | 27% |
| Medicine and Dentistry | 4 | 15% |
| Neuroscience | 3 | 12% |
| Immunology and Microbiology | 2 | 8% |
| Agricultural and Biological Sciences | 2 | 8% |
| Other | 1 | 4% |
| Unknown | 7 | 27% |
Attention Score in Context
This research output has an Altmetric Attention Score of 25. 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 April 2024.
All research outputs
#1,565,001
of 25,920,652 outputs
Outputs from Genome Medicine
#338
of 1,621 outputs
Outputs of similar age
#20,530
of 310,562 outputs
Outputs of similar age from Genome Medicine
#6
of 36 outputs
Altmetric has tracked 25,920,652 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 1,621 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 26.5. This one has done well, scoring higher than 79% 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 310,562 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 93% of its contemporaries.
We're also able to compare this research output to 36 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 83% of its contemporaries.