You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output.
Click here to find out more.
X Demographics
Mendeley readers
Attention Score in Context
| Title |
Next-generation tissue microarray (ngTMA) increases the quality of biomarker studies: an example using CD3, CD8, and CD45RO in the tumor microenvironment of six different solid tumor types
|
|---|---|
| Published in |
Journal of Translational Medicine, April 2013
|
| DOI | 10.1186/1479-5876-11-104 |
| Pubmed ID | |
| Authors |
Inti Zlobec, Viktor H Koelzer, Heather Dawson, Aurel Perren, Alessandro Lugli |
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 % |
|---|---|---|
| United States | 2 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 2 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 61 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Denmark | 1 | 2% |
| Unknown | 60 | 98% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 10 | 16% |
| Student > Master | 9 | 15% |
| Researcher | 8 | 13% |
| Student > Doctoral Student | 7 | 11% |
| Student > Bachelor | 6 | 10% |
| Other | 12 | 20% |
| Unknown | 9 | 15% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 26 | 43% |
| Agricultural and Biological Sciences | 15 | 25% |
| Biochemistry, Genetics and Molecular Biology | 4 | 7% |
| Business, Management and Accounting | 1 | 2% |
| Immunology and Microbiology | 1 | 2% |
| Other | 3 | 5% |
| Unknown | 11 | 18% |
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 08 May 2013.
All research outputs
#14,624,221
of 23,860,197 outputs
Outputs from Journal of Translational Medicine
#1,804
of 4,225 outputs
Outputs of similar age
#108,429
of 194,056 outputs
Outputs of similar age from Journal of Translational Medicine
#34
of 50 outputs
Altmetric has tracked 23,860,197 research outputs across all sources so far. This one is in the 37th percentile – i.e., 37% of other outputs scored the same or lower than it.
So far Altmetric has tracked 4,225 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 10.7. This one has gotten more attention than average, scoring higher than 55% 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 194,056 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 43rd percentile – i.e., 43% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 50 others from the same source and published within six weeks on either side of this one. This one is in the 34th percentile – i.e., 34% of its contemporaries scored the same or lower than it.