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Mendeley readers
Attention Score in Context
| Title |
Comparison of microarray expression profiles between follicular variant of papillary thyroid carcinomas and follicular adenomas of the thyroid
|
|---|---|
| Published in |
BMC Genomics, January 2015
|
| DOI | 10.1186/1471-2164-16-s1-s7 |
| Pubmed ID | |
| Authors |
Hans-Juergen Schulten, Zuhoor Al-Mansouri, Ibtisam Baghallab, Nadia Bagatian, Ohoud Subhi, Sajjad Karim, Hosam Al-Aradati, Abdulmonem Al-Mutawa, Adel Johary, Abdulrahman A Meccawy, Khalid Al-Ghamdi, Osman Abdel Al-Hamour, Mohammad Hussain Al-Qahtani, Jaudah Al-Maghrabi |
| Abstract |
Follicular variant of papillary thyroid carcinoma (FVPTC) and follicular adenoma (FA) are histologically closely related tumors and differential diagnosis remains challenging. RNA expression profiling is an established method to unravel molecular mechanisms underlying the histopathology of diseases. |
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 | 1 | 50% |
| Unknown | 1 | 50% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 1 | 50% |
| Scientists | 1 | 50% |
Mendeley readers
The data shown below were compiled from readership statistics for 31 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Netherlands | 1 | 3% |
| Unknown | 30 | 97% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 5 | 16% |
| Professor > Associate Professor | 4 | 13% |
| Student > Bachelor | 4 | 13% |
| Student > Postgraduate | 3 | 10% |
| Student > Ph. D. Student | 3 | 10% |
| Other | 8 | 26% |
| Unknown | 4 | 13% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 6 | 19% |
| Biochemistry, Genetics and Molecular Biology | 6 | 19% |
| Agricultural and Biological Sciences | 3 | 10% |
| Engineering | 3 | 10% |
| Computer Science | 2 | 6% |
| Other | 6 | 19% |
| Unknown | 5 | 16% |
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 29 January 2016.
All research outputs
#14,219,838
of 22,796,179 outputs
Outputs from BMC Genomics
#5,699
of 10,648 outputs
Outputs of similar age
#201,120
of 379,885 outputs
Outputs of similar age from BMC Genomics
#142
of 280 outputs
Altmetric has tracked 22,796,179 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 10,648 research outputs from this source. They receive a mean Attention Score of 4.7. This one is in the 42nd percentile – i.e., 42% 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 379,885 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 44th percentile – i.e., 44% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 280 others from the same source and published within six weeks on either side of this one. This one is in the 44th percentile – i.e., 44% of its contemporaries scored the same or lower than it.