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Attention Score in Context
| Title |
Applied models and molecular characteristics of small cell lung cancer
|
|---|---|
| Published in |
Pathology & Oncology Research, April 2024
|
| DOI | 10.3389/pore.2024.1611743 |
| Pubmed ID | |
| Authors |
Gabriella Mihalekné Fűr, Kolos Nemes, Éva Magó, Alexandra Á. Benő, Petronella Topolcsányi, Judit Moldvay, Lőrinc S. Pongor |
Attention Score in Context
This research output has an Altmetric Attention Score of 1. 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 07 May 2024.
All research outputs
#23,203,979
of 25,861,751 outputs
Outputs from Pathology & Oncology Research
#553
of 792 outputs
Outputs of similar age
#158,345
of 198,624 outputs
Outputs of similar age from Pathology & Oncology Research
#4
of 6 outputs
Altmetric has tracked 25,861,751 research outputs across all sources so far. This one is in the 1st percentile – i.e., 1% of other outputs scored the same or lower than it.
So far Altmetric has tracked 792 research outputs from this source. They receive a mean Attention Score of 2.2. This one is in the 1st percentile – i.e., 1% 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 198,624 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 6 others from the same source and published within six weeks on either side of this one. This one has scored higher than 2 of them.