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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Automated quantification of Ki-67 proliferative index of excised neuroendocrine tumors of the lung
|
|---|---|
| Published in |
Diagnostic Pathology, October 2014
|
| DOI | 10.1186/s13000-014-0174-z |
| Pubmed ID | |
| Authors |
Sandy Z Liu, Paul N Staats, Lindsay Goicochea, Borislav A Alexiev, Nirav Shah, Renee Dixon, Allen P Burke |
| Abstract |
The histopathologic distinction between typical carcinoid (TC) and atypical carcinoid (AC) of the lung is based largely on mitotic index. Ki-67 may aid in separation of these tumors, as well as the distinction from large cell neuroendocrine carcinoma (LCNEC). |
X Demographics
The data shown below were collected from the profiles of 3 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 3 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 1 | 33% |
| Practitioners (doctors, other healthcare professionals) | 1 | 33% |
| Members of the public | 1 | 33% |
Mendeley readers
The data shown below were compiled from readership statistics for 21 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 21 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 7 | 33% |
| Student > Master | 3 | 14% |
| Professor | 2 | 10% |
| Student > Doctoral Student | 1 | 5% |
| Student > Bachelor | 1 | 5% |
| Other | 4 | 19% |
| Unknown | 3 | 14% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 12 | 57% |
| Computer Science | 1 | 5% |
| Neuroscience | 1 | 5% |
| Agricultural and Biological Sciences | 1 | 5% |
| Unknown | 6 | 29% |
Attention Score in Context
This research output has an Altmetric Attention Score of 2. 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 17 October 2014.
All research outputs
#14,202,176
of 22,766,595 outputs
Outputs from Diagnostic Pathology
#420
of 1,123 outputs
Outputs of similar age
#132,522
of 255,780 outputs
Outputs of similar age from Diagnostic Pathology
#14
of 44 outputs
Altmetric has tracked 22,766,595 research outputs across all sources so far. This one is in the 35th percentile – i.e., 35% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,123 research outputs from this source. They receive a mean Attention Score of 2.8. This one has gotten more attention than average, scoring higher than 57% 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 255,780 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 45th percentile – i.e., 45% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 44 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 56% of its contemporaries.