| Title |
The 2016 World Health Organization Classification of Tumors of the Central Nervous System: a summary
|
|---|---|
| Published in |
Acta Neuropathologica, May 2016
|
| DOI | 10.1007/s00401-016-1545-1 |
| Pubmed ID | |
| Authors |
David N. Louis, Arie Perry, Guido Reifenberger, Andreas von Deimling, Dominique Figarella-Branger, Webster K. Cavenee, Hiroko Ohgaki, Otmar D. Wiestler, Paul Kleihues, David W. Ellison |
| Abstract |
The 2016 World Health Organization Classification of Tumors of the Central Nervous System is both a conceptual and practical advance over its 2007 predecessor. For the first time, the WHO classification of CNS tumors uses molecular parameters in addition to histology to define many tumor entities, thus formulating a concept for how CNS tumor diagnoses should be structured in the molecular era. As such, the 2016 CNS WHO presents major restructuring of the diffuse gliomas, medulloblastomas and other embryonal tumors, and incorporates new entities that are defined by both histology and molecular features, including glioblastoma, IDH-wildtype and glioblastoma, IDH-mutant; diffuse midline glioma, H3 K27M-mutant; RELA fusion-positive ependymoma; medulloblastoma, WNT-activated and medulloblastoma, SHH-activated; and embryonal tumour with multilayered rosettes, C19MC-altered. The 2016 edition has added newly recognized neoplasms, and has deleted some entities, variants and patterns that no longer have diagnostic and/or biological relevance. Other notable changes include the addition of brain invasion as a criterion for atypical meningioma and the introduction of a soft tissue-type grading system for the now combined entity of solitary fibrous tumor / hemangiopericytoma-a departure from the manner by which other CNS tumors are graded. Overall, it is hoped that the 2016 CNS WHO will facilitate clinical, experimental and epidemiological studies that will lead to improvements in the lives of patients with brain tumors. |
X Demographics
The data shown below were collected from the profiles of 166 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 40 | 24% |
| United Kingdom | 13 | 8% |
| Spain | 12 | 7% |
| India | 6 | 4% |
| Mexico | 5 | 3% |
| Venezuela, Bolivarian Republic of | 4 | 2% |
| Canada | 4 | 2% |
| France | 2 | 1% |
| Germany | 2 | 1% |
| Other | 15 | 9% |
| Unknown | 63 | 38% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 110 | 66% |
| Practitioners (doctors, other healthcare professionals) | 26 | 16% |
| Scientists | 20 | 12% |
| Science communicators (journalists, bloggers, editors) | 10 | 6% |
Mendeley readers
The data shown below were compiled from readership statistics for 8,801 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 9 | <1% |
| United Kingdom | 7 | <1% |
| Japan | 4 | <1% |
| Brazil | 4 | <1% |
| Italy | 3 | <1% |
| France | 3 | <1% |
| Spain | 3 | <1% |
| Czechia | 3 | <1% |
| Netherlands | 2 | <1% |
| Other | 17 | <1% |
| Unknown | 8746 | 99% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Bachelor | 1133 | 13% |
| Student > Master | 1000 | 11% |
| Student > Ph. D. Student | 967 | 11% |
| Researcher | 866 | 10% |
| Student > Doctoral Student | 639 | 7% |
| Other | 1691 | 19% |
| Unknown | 2505 | 28% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 2498 | 28% |
| Biochemistry, Genetics and Molecular Biology | 1082 | 12% |
| Neuroscience | 630 | 7% |
| Agricultural and Biological Sciences | 449 | 5% |
| Engineering | 209 | 2% |
| Other | 1109 | 13% |
| Unknown | 2824 | 32% |
Attention Score in Context
This research output has an Altmetric Attention Score of 686. 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 26 December 2023.
All research outputs
#31,007
of 25,837,817 outputs
Outputs from Acta Neuropathologica
#8
of 2,606 outputs
Outputs of similar age
#563
of 317,587 outputs
Outputs of similar age from Acta Neuropathologica
#1
of 27 outputs
Altmetric has tracked 25,837,817 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 99th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 2,606 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 17.5. This one has done particularly well, scoring higher than 98% of its peers.
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We're also able to compare this research output to 27 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 96% of its contemporaries.