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Mendeley readers
Attention Score in Context
| Title |
Transcriptome profiling of granulosa cells of bovine ovarian follicles during growth from small to large antral sizes
|
|---|---|
| Published in |
BMC Genomics, January 2014
|
| DOI | 10.1186/1471-2164-15-24 |
| Pubmed ID | |
| Authors |
Nicholas Hatzirodos, Helen F Irving-Rodgers, Katja Hummitzsch, Margaret L Harland, Stephanie E Morris, Raymond J Rodgers |
| Abstract |
At later stages of folliculogenesis, the mammalian ovarian follicle contains layers of epithelial granulosa cells surrounding an antral cavity. During follicle development granulosa cells replicate, secrete hormones and support the growth of the oocyte. In cattle, the follicle needs to grow > 10 mm in diameter to allow an oocyte to ovulate, following which the granulosa cells cease dividing and differentiate into the specialised cells of the corpus luteum. To better understand the molecular basis of follicular growth and granulosa cell maturation, we undertook transcriptome profiling of granulosa cells from small (< 5 mm; n = 10) and large (> 10 mm, n = 4) healthy bovine follicles using Affymetrix microarrays (24,128 probe sets). |
X Demographics
The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 89 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Finland | 1 | 1% |
| Spain | 1 | 1% |
| Portugal | 1 | 1% |
| France | 1 | 1% |
| Unknown | 85 | 96% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 22 | 25% |
| Researcher | 21 | 24% |
| Student > Master | 9 | 10% |
| Student > Doctoral Student | 7 | 8% |
| Student > Bachelor | 4 | 4% |
| Other | 14 | 16% |
| Unknown | 12 | 13% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 38 | 43% |
| Biochemistry, Genetics and Molecular Biology | 14 | 16% |
| Veterinary Science and Veterinary Medicine | 9 | 10% |
| Medicine and Dentistry | 3 | 3% |
| Computer Science | 1 | 1% |
| Other | 3 | 3% |
| Unknown | 21 | 24% |
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 18 March 2016.
All research outputs
#14,196,917
of 22,757,090 outputs
Outputs from BMC Genomics
#5,690
of 10,637 outputs
Outputs of similar age
#173,798
of 306,594 outputs
Outputs of similar age from BMC Genomics
#238
of 447 outputs
Altmetric has tracked 22,757,090 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 10,637 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 306,594 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 40th percentile – i.e., 40% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 447 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.