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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Histological comparison between preoperative and surgical specimens of non-small cell lung cancer for distinguishing between "squamous" and "non-squamous" cell carcinoma
|
|---|---|
| Published in |
Diagnostic Pathology, May 2014
|
| DOI | 10.1186/1746-1596-9-103 |
| Pubmed ID | |
| Authors |
Tomoko Yamagishi, Katsuhiko Shimizu, Nobuaki Ochi, Hiromichi Yamane, Isao Irei, Yoshito Sadahira, Nagio Takigawa, Mikio Oka, Masao Nakata |
| Abstract |
Non-small cell lung cancers (NSCLCs) are frequently heterogeneous and in approximately 70% of cases, NSCLCs are diagnosed and staged by small biopsies or cytology rather than by examination of surgically resected specimens. Thus, in most patients, the diagnosis is established based on examination of preoperative specimens alone. Recently, classification of NSCLC into pathologic subtypes has been shown to be important for selecting the appropriate systemic therapy, from both the point of view of treatment efficacy and prevention of toxicity. |
X Demographics
The data shown below were collected from the profiles of 2 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Brazil | 1 | 50% |
| Unknown | 1 | 50% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 1 | 50% |
| Practitioners (doctors, other healthcare professionals) | 1 | 50% |
Mendeley readers
The data shown below were compiled from readership statistics for 16 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 16 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Professor | 3 | 19% |
| Student > Bachelor | 2 | 13% |
| Other | 2 | 13% |
| Student > Ph. D. Student | 2 | 13% |
| Student > Master | 2 | 13% |
| Other | 5 | 31% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 9 | 56% |
| Biochemistry, Genetics and Molecular Biology | 3 | 19% |
| Agricultural and Biological Sciences | 2 | 13% |
| Energy | 1 | 6% |
| Computer Science | 1 | 6% |
| Other | 0 | 0% |
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 29 May 2014.
All research outputs
#15,301,167
of 22,756,196 outputs
Outputs from Diagnostic Pathology
#535
of 1,122 outputs
Outputs of similar age
#132,623
of 226,522 outputs
Outputs of similar age from Diagnostic Pathology
#20
of 35 outputs
Altmetric has tracked 22,756,196 research outputs across all sources so far. This one is in the 22nd percentile – i.e., 22% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,122 research outputs from this source. They receive a mean Attention Score of 2.8. This one is in the 40th percentile – i.e., 40% 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 226,522 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 31st percentile – i.e., 31% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 35 others from the same source and published within six weeks on either side of this one. This one is in the 31st percentile – i.e., 31% of its contemporaries scored the same or lower than it.