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Mendeley readers
Attention Score in Context
| Title |
TmaDB: a repository for tissue microarray data
|
|---|---|
| Published in |
BMC Bioinformatics, September 2005
|
| DOI | 10.1186/1471-2105-6-218 |
| Pubmed ID | |
| Authors |
Archana Sharma-Oates, Philip Quirke, David R Westhead |
| Abstract |
Tissue microarray (TMA) technology has been developed to facilitate large, genome-scale molecular pathology studies. This technique provides a high-throughput method for analyzing a large cohort of clinical specimens in a single experiment thereby permitting the parallel analysis of molecular alterations (at the DNA, RNA, or protein level) in thousands of tissue specimens. As a vast quantity of data can be generated in a single TMA experiment a systematic approach is required for the storage and analysis of such data. |
Mendeley readers
The data shown below were compiled from readership statistics for 25 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United Kingdom | 1 | 4% |
| United States | 1 | 4% |
| Unknown | 23 | 92% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 6 | 24% |
| Other | 5 | 20% |
| Researcher | 4 | 16% |
| Professor | 3 | 12% |
| Student > Doctoral Student | 2 | 8% |
| Other | 5 | 20% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 11 | 44% |
| Computer Science | 5 | 20% |
| Agricultural and Biological Sciences | 4 | 16% |
| Social Sciences | 2 | 8% |
| Biochemistry, Genetics and Molecular Biology | 1 | 4% |
| Other | 1 | 4% |
| Unknown | 1 | 4% |
Attention Score in Context
This research output has an Altmetric Attention Score of 3. 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 23 November 2012.
All research outputs
#7,453,479
of 22,786,691 outputs
Outputs from BMC Bioinformatics
#3,023
of 7,279 outputs
Outputs of similar age
#20,391
of 58,590 outputs
Outputs of similar age from BMC Bioinformatics
#10
of 27 outputs
Altmetric has tracked 22,786,691 research outputs across all sources so far. This one is in the 44th percentile – i.e., 44% of other outputs scored the same or lower than it.
So far Altmetric has tracked 7,279 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.4. This one has gotten more attention than average, scoring higher than 50% 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 58,590 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 14th percentile – i.e., 14% of its contemporaries scored the same or lower than it.
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 is in the 33rd percentile – i.e., 33% of its contemporaries scored the same or lower than it.